Awesome Remote Sensing Change Detection

September 9, 2026 · View on GitHub

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A comprehensive and up-to-date compilation of datasets, tools, methods (including foundation models, diffusion models, transformers, and CNNs), review papers, and competitions for remote sensing change detection.

Contents

Datasets

  • SCD: Semantic Change Detection, BCD: Binary Change Detection, DDA: Disaster Damage Assessment, BDA: Building Damage Assessment, RSICC: Remote Sensing Image Change Captioning

Optical Datasets

YearTaskTargetDatasetPublicationSourceImage PairsImage SizeResolutionLocationClass
2025SCD+BCDBuildingRSCCNeurIPS2025Open Maxar Data Programme62,351512 × 5120.3-0.8m31 Locations Globally5
2026SCDLand coverLsSCD-ExJAG2026Google Earth1002048 × 20480.6mNanjing, China8
2026SCD+BCDBuildingFOTBCD-Binary;FOTBCD-InstancesarXiv2026IGN27,871;4000512 × 5120.2mFrance2;3
2025RSICCLand coverMOSAIC-SEN2-CCJSTARS2025Sentinel-25,232480 × 48010mGlobal8
2025SCDCroplandXiamen, FuzhouJAG2025, ISPRS P&RS 2024Google Earth6480 (Xiamen); 8719 (Fuzhou)256 × 2560.5mXiang’an and Tong’an districts, Xiamen, China; Changle and Minhou districts, Fuzhou, China7
2025SCD+BCDLand coverWHU-GCDISPRS P&RS 2025LoveDA, Evlab-SS, LandCover.ai, and Google Earth; DSIFN-CD,LEVIR-CD, SECOND, CLCD, CNAM-CD28,067512 × 512-Global26
2025BCDBuildingCWSCDJAG2025BJ-2, GF-22002048×20481mHebei, China2
2025BCDBuildingDVCDarXiv2025Drone Images12,833-0.1mGuangdong, China2
2025SCDLand coverSC-SCD7, CC-SCD5ISPRS P&RS 2025Pléiades, Beijing-2, Gaofen-1, Gaofen-2, Ziyuan-31,722; 953512×5120.5m, 2.3m, 2.5 mZhangzhou (Longwen) and Henan (Dengfeng, Luoyang, Sanmenxia), China8; 5
2025SCDLand coverLevirSCDarXiv2025GF-1, Google Earth3,225256×2561-2Beijing, China16
2025BCDLand coverJL1-CDarXiv2025Jilin-15,000512×5120.5-0.75mMultiple provinces in China2
2025SCDBuildingEBDJRS2025WorldView-3>18,000512×5120.3-0.5mGlobal7
2025SCDLand useMLCDJSTARS2025Google Earth Engine10, 000256×2560.5-2mMacao, China
2024BCDMineMineNetCDTGRS2024Google Earth71,711256×2561.2mGlobal2
2024BCDBuildingTUE-CDTGRS2024WorldView-21,656256×2561.8mTurkey2
2024SCDUrbanMSRS-CDJSTARS2024-8411,024×1,0240.5mSouthern Chinese cities5
2024SCDCroplandCropSCDTGRS2024-4,141512×5120.5-2mGuangdong, China9
2024SCDCroplandHi-CNAISPRS P&RS 2024GF-26,797512×5120.8mChina (Hebei, Shanxi, Shandong, and Hubei)5
2024SCDLand coverChangNetICASSP2024WayBack31,0001,900×1,2000.3m100 Cities in China6
2023SCDCroplandJL1-Jilin-18,000256×256<0.75m-9
2023BCDBuildingEGY-BCDGRSL2023Google Earth6,091256×2560.25mEgypt2
2023BCDBuildingHRCUS-CDTGRS2023-11,388256×2560.5mZhuhai, China2
2023BCDBuildingSI-BUISPRS P&RS 2023Google Earth4,932512×5120.2mGuiyang, China2
2023SCDLand coverCNAM-CDRS2023Google Earth2,503512×5120.5m12 State-level New Areas in China6
2023SCDLand coverWUSUIJDE2023GF-236,358×6,382 / 7,025×5,5001mWuhan, China12
2023BCDLandslideGVLMISPRS P&RS 2023Google Earth171,748×1,748-10,808×7,4240.59mGlobal2
2023SCDBuildingBANDONSci. China Inf. Sci. 2023Google Earth, Microsoft Virtual Earth, and ArcGIS2,2832,048×2,0480.6mChina (Beijing, Shanghai, Wuhan, Shenzhen, Hong Kong, and Jinan)6
2023SCDLand coverDynamicEarthNetCVPR2022PlanetFusion54,7501,024×1,0243mGlobal7
2022BCDRoadCRCD, WRCDTITS2022Aerial Images, Google Earth3,237, 1,960512×5120.2m, 1.14mChristchurch, New Zealand; Jiangxia, Wuhan, China2
2022BCDCroplandCLCDJSTARS2022GF-2600512×5120.5-2mGuangdong, China2
2022RSICCBuildingLEVIR-CCTGRS2022Google Earth10,0771,024×1,0240.5mTexas, USA2
2022BCDLand coverSYSU-CDTGRS2021-20,000256×2560.5mHong Kong, China2
2022SCDBuildingS2LookingRS2021GF, SuperView, BJ-25,0001,024×1,0240.5-0.8mGlobal2
2022BCDBuildingLEVIR-CD+RS2021Google Earth9851,024×1,0240.5mTexas, USA2
2022SCDLand coverLandsat-SCDIJDE2022Landsat8,468416×41630mXinjiang, China10
2022SCDBuildingNanjingDatasetISPRS P&RS 2022Google Earth2,519256×2560.3mNanjing, China3
2022RSICCUrbanDubai-CCTGRS2022Landsat 750050×5030mDubai6
2022SCDFloodSpaceNet 8CVPR2022WMaxar121,300×1,3000.3-0.8mGermany, and Louisiana4
2021SCDLand coverMSDJSTARS2022NAIP, Landsat-8, and NLCD2,250-1m, 30mMaryland, USA16
2021SCDLand coverS2MTCPICPR2021Sentinel-21,520600×60010mGlobal-
2021BCDUrbanHTCDRS2021Google Earth, Open Aerial Map3,772256×256, 2,048×2,0480.5971m, 0.07465mChisinau, Moldova2
2020BCDBuildingGZ-CD (or CD_Data_GZ)TGRS2020Google Earth191,006×1,168-4,936×5,2240.55mGuangzhou, China2
2020BCDBuildingDSIFN (or DSIFN-CD)ISPRS P&RS 2020Google Earth3,940512×512-China (Beijing, Chengdu, Shenzhen, Chongqing, Wuhan, and Xian)2
2020BCDBuildingLEVIR-CDRS2020Google Earth6371,024×1,0240.5mTexas, USA2
2020SCDLand coverHi-UCDarXiv2020Aerial Images1,2931,024×1,0240.1mTallinn, Estonia9
2020SCDLand coverSECONDTGRS2021Aerial Images4,662512×512-China (Hangzhou, Chengdu, and Shanghai)6
2020BCDBuildingMUDS (or SpaceNet 7)CVPR2021--1,024×1,0244mGlobal2
2019BDABuildingxBDarXiv2019Maxar11,0341,024×1,024<0.8mGlobal4
2019SCDLand coverHRSCDCVIU2019IGN29110,000×10,0000.5mFrance (Rennes, and Caen)5
2018BCDBuildingWHU-CDTGRS2018Aerial Image132,507×15,3540.2mChristchurch, New Zealand2
2018BCDBuildingCDD (or SVCD)Int. Arch. Photogramm. Remote Sens. Spatial Inf. 2018Google Earth1,6000256×2560.03-1m-2
2018BCDRiverwayThe River Data SetTGRS2018EO-1 Hyperion1463×24130mJiangsu, China2
2018BCDLand coverOSCDIGARSS2018Sentinel-224600×60010-60mGlobal2
2008BCDLand coverSZTAKITGRS2009Aerial Images13952x6401.5m-

Multi-Modal and SAR Datasets

YearTaskTargetDatasetPublicationSourceImage PairsImage SizeResolutionLocationClass
2025DDADisasterDisasterM3NeurIPS2025Optical-SAR-Instruction---Global-
2025SCDBuildingBRIGHTarXiv2025Optical and SAR4,5381,024×1,0240.3-1mGlobal4
2024SCDBuildingHi-BCDInformation Fusion 2023Aerial Images, DSMs1,5001,000×1,0000.25mNetherlands (Amsterdam, Rotterdam, and Utrecht)3
2024SCDFloodUrbanSARFloodsCVPR2024WSentinel-18,879512×51220mGlobal5
2024SCDLand useEVLab-CMCDISPSR P&RS 2024GF-2, BJ-2, Historical land use maps5,622512×5120.8m10 Cities in China13
2023BCDFloodCAU-FloodJAG2023Sentinel-1, Sentinel-218,302256×25610mGlobal2
2023SCDFloodKuro SiwoNeurIPS2024Sentinel-1, DEM67,490224×22410mGlobal3
2023SCDUrbanSMARSISPRS P&RS 2023Simulated Orthoimages and DSMs-512×5120.3m, 0.5mSimulated Paris and Venice3
2023BCDUrban3DCDISPRS P&RS 2023Aerial Images, DSMs472400×400, 200×2000.5m, 1mValladolid, Spain2
2023SCDUrbanUrb3DCD–V2ISPRS P&RS 2023ALS, Multi-Sensor---Simulated7
2022BCDFloodWuhanJAG2022Sentinel-2, COSMO-SkyMed111,216×13,6933mWuhan, China2
2022BCDFloodOmbriaJSTARS2022Sentinel-1, Sentinel-21,688256×25610mGlobal2
2021BCDLand coverMultiModalOSCDISPRS. XXIV ISPRS Congress 2021Sentinel-1, Sentinel-224600×60010-60mGlobal2

Tools

YearAbbreviationDescriptionOther
2024rschangeAn open-source toolbox dedicated to reproducing and developing advanced methods (e.g., DDLNet, CDMask) for change detection in remote sensing images.Last CommitGitHub stars
2024torchangeA benchmark library providing out-of-box, straightforward implementations of contemporary spatiotemporal change detection models (e.g., ChangeStar, Changen, AnyChange), metrics, and datasets to promote reproducibility in remote sensing research.Last CommitGitHub stars
2022Open-CDThe most comprehensive open-source toolbox for change detection, offering a unified platform with diverse methods, training/inference tools, data analysis scripts, and benchmarks to support research and development in the field. Paper: arXiv2024.Last CommitGitHub stars
2022PaddleRSA remote sensing toolkit based on PaddlePaddle that supports change detection among other tasks, providing dedicated models (e.g., BIT, FarSeg), large-image processing capabilities, and practical tutorials for analyzing temporal land cover differences. The PyTorch version is called CDLab.Last CommitGitHub stars
2020Change Detection RepositoryIt provides Python implementations of selected traditional change detection methods (e.g., CVA, SFA, MAD) and deep learning-based approaches (e.g., SiamCRNN, DSFA, and FCN-based methods).Last CommitGitHub stars
2019ChangeDetectionToolboxThis MATLAB toolbox provides a modular, end-to-end framework for remote sensing change detection, implementing key methods such as CVA , MAD , and IRMAD to generate difference images and evaluate change maps.Last CommitGitHub stars

Methods

Deep Learning

Foundation Models

YearAbbreviationTitlePublicationFoundation ModelsKeywordsExperiment DatasetsOther
2026MaSoNMake Some Noise: Unsupervised Remote Sensing Change Detection Using Latent Space PerturbationsTGRS2026DINOv3Unsupervised Change DetectionSYSU-CD, LEVIR-CD, GVLM, CLCD, OSCDLast CommitGitHub stars
2025DaCDFA change detection framework with relative depth information assistanceJAG2025Depth AnythingDepth-Anything; Multi-task learningWHU-CD, LEVIR-CD, SECOND-
2025GeoVLM-R1GeoVLM-R1: Reinforcement Fine-Tuning for Improved Remote Sensing ReasoningarXiv2025Qwen2.5VL-3B-InstructTask aware rewards, reasoning based RL modelsGeoChat-Instruct, NWPU VHR-10; Dubai-CC, LEVIR-MCI, MUDS, SYSU-CD; NWPU-Captions, RSCID-Captions, RSITMD-CaptionsLast CommitGitHub stars
2025ChangeVGTowards Comprehensive Interactive Change Understanding in Remote Sensing: A Large-scale Dataset and Dual-granularity Enhanced VLMarXiv2025Qwen2.5-VL-7BRemote sensing change understanding, Interactive multi-task instruction dataset, Vision-language modelsChangeIMTI (constructed from LEVIR-CC, LEVIR-MCI)-
2025SegChange-R1SegChange-R1: LLM-Augmented Remote Sensing Change DetectionarXiv2025Swin Transformer, Microsoft/Phi-1.5LLM-augmented inference approach, Linear attention-based spatial transformation moduleWHU-CD, CDD, DSIFN-CD, DVCDLast CommitGitHub stars
2025SAM2-CDSAM2-CD: Remote Sensing Image Change Detection With SAM2JSTAR2025SAM2Dynamic feature selection, global–local attentionWHU-CD, LEVIR-CD, and LEVIR-CD+Last CommitGitHub stars
2025ViTPVisual Instruction Pretraining for Domain-Specific Foundation ModelsarXiv2025ViT, InternVL-2.5Leveraging reasoning to enhance perception, ViT, Visual Robustness Learning16 challenging remote sensing and medical imaging benchmarksLast CommitGitHub stars
2025AdaptVFMs-RSCDAdaptVFMs-RSCD: Advancing Remote Sensing Change Detection from binary to semantic with SAM and CLIPISPRS P&RS 2025CLIP, SAMRemote sensing VFM fine-tuning datasetRS VFM Fine-tuning dataset, DSIFN-CD, CLCD, SYSU-CDLast CommitGitHub stars
2025PeftCDPeftCD: Leveraging Vision Foundation Models with Parameter-Efficient Fine-Tuning for Remote Sensing Change DetectionarXiv2025SAM2, DINOv3Vision Foundation Models, Parameter-Efficient Fine-TuningWHU-CD, CDD, LEVIR-CD, SYSU-CD, MSRSCD, MLCD, S2LookingLast CommitGitHub stars
2025DepthCDBalanced Diffusion-Guided Fusion for Multimodal Remote Sensing ClassificationISPRS P&RS 2025ViTDepth prompt, Dimensional correlation of change, Lightweight adapter, Binary change detection, Semantic change detectionSECOND,LandsatSCD, HiUCDs; SYSU-CD, HRCUS-CD, WRCD-
2025SA-CDNetDetect Changes Like Humans: Incorporating Semantic Priors for Improved Change DetectionTGRS2025FastSAMDual-stream decoder, multiscale feature, visual foundation modelAIRS, INRIA-Building, and WHU-Building; DLCCC, and LoveDA; WHU-CD, LEVIR-CD, LEVIR-CD+, S2Looking, WHU Cultivate Land DatasetLast CommitGitHub stars
2025DynamicEarthDynamicEarth: How Far are We from Open-Vocabulary Change Detection?arXiv2025SAM2, DINOv2Open-Vocabulary Change DetectionWHU-CD, LEVIR-CD, SECOND, S2Looking, and BANDONLast CommitGitHub stars
2025DisasterM3DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and ResponseNeurIPS2025LLaVA, Kimi, InternVL, Qwen2.5, GeoCha, TeoChat, EarthDial, GPT4Multi-hazard, Multi-sensor, Multi-taskDisasterM3Last CommitGitHub stars
2025EFI-SAMSAM-Based Efficient Feature Integration Network for Remote Sensing Change Detection: A Case Study on Macao Sea ReclamationJSTARS2025SAMRandom Fourier features, sea reclamationCLCD, SYSU-CD, S2Looking, MLCDLast CommitGitHub stars
2024AnyChangeSegment Any ChangeNeurIPS2024SAMZero-shot change detection, bitemporal latent matchingxBD, LEVIR-CD, S2Looking, SECONDLast CommitGitHub stars
2024SCMSegment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of BuildingsIGARSS 2024SAM, CLIPUnsupervised Change Detection, Vision Foundation ModelWHU-CD, LEVIR-CDLast CommitGitHub stars
2024SemiCD-VLSemiCD-VL: Visual-Language Model Guidance Makes Better Semi-Supervised Change DetectorTGRS2024APEVisual-language model, semi-supervised learning, foundation modelWHU-CD, LEVIR-CDLast CommitGitHub stars
2024ChangeCLIPChangeCLIP: Remote sensing change detection with multimodal vision-language representation learningISPRS P&RS 2024CLIPMultimodal, vision-Language Representation LearningWHU-CD, CDD, LEVIR-CD, LEVIR-CD+, and SYSU-CDLast CommitGitHub stars
2023BANA New Learning Paradigm for Foundation Model-Based Remote-Sensing Change DetectionTGRS2024CLIPFoundation Model, visual tuningWHU-CD, LEVIR-CD, S2Looking, Landsat-SCD, and BANDONLast CommitGitHub stars
2023SAM-CDAdapting Segment Anything Model for Change Detection in VHR Remote Sensing ImagesTGRS2024SAMVision foundation modelsWHU-CD, LEVIR-CD, CLCD, S2LookingLast CommitGitHub stars

Diffusion Models and GANs

YearAbbreviationTitlePublicationKeywordsExperiment DatasetsOther
2026DreamCDDreamCD: A change-label-free framework for change detection via a weakly conditional semantic diffusion model in optical VHR imageryJAG206Diffusion model; Synthetic change dataOpenEarthMap, SECOND, LsSCD-ExLast CommitGitHub stars
2025CT2NetCycle Translation-Based Collaborative Training for Hyperspectral-RGB Multimodal Change DetectionTPAMI2025CycleGAN, Hyperspectral-RGB image, multimodal change detection, image translation, collaborative trainingBay Area (HSI-RGB), Santa Barbara (HSI-RGB), Hermiston (HSI-RGB), XDU-Liyukou (HSI-RGB)Last CommitGitHub stars
2025NeDSNeural disaster simulation for transferable building damage assessmentRSE2025Synthetic data fine-tuning, deep generative models, conditional latent diffusion modelxBD, Los Angeles Wildfire (2025), and Nigeria Flooding (2025)Last CommitGitHub stars
2025BDGFBalanced Diffusion-Guided Fusion for Multimodal Remote Sensing ClassificationarXiv2025Denoising diffusion probabilistic models, adaptive modality masking strategy,mutual learning strategyBerlin dataset (HSI+SAR), Augsburg dataset (HSI+SAR), Yellow River Estuary dataset (HSI+SAR), LCZ HK dataset (MSI+SAR)Last CommitGitHub stars
2025RS-NormGANRS-NormGAN: Enhancing change detection of multi-temporal optical remote sensing images through effective radiometric normalizationISPRS P&RS 2025Deep style transfer; Domain adaptation; GAN; Multi-temporal radiometric normalizationGESD, SHCDLast CommitGitHub stars
2024UP-DiffUP-Diff: Latent Diffusion Model for Remote Sensing Urban PredictionGRSL2024Cross-attention, latent diffusion model, urban planningLEVIR-CD, SYSU-CDLast CommitGitHub stars
2024ChangeDiffChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion ModelAAAI2025Diffusion models, text-to-layout model, multi-class distribution-guided text promptsSECOND, Landsat-SCD, and HRSCDLast CommitGitHub stars
2024Changen2Changen2: Multi-Temporal Remote Sensing Generative Change Foundation ModelTPAMI2024Synthetic data pre-training, generative model, foundation modelWHU-CD, xBD, LEVIR-CD, S2Looking, SECONDLast CommitGitHub stars
2023ChangenScalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change ProcessICCV2023Deep generative model, change event simulation, semantic change synthesisWHU-CD, LEVIR-CD, S2LookingLast CommitGitHub stars
2022DDPM-CDDDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Remote Sensing Change DetectionWACV2025Image synthesis, Denoising Diffusion Probabilistic ModelsWHU-CD, CDD, DSIFN-CD, and LEVIR-CDLast CommitGitHub stars

Transformers

YearAbbreviationTitlePublicationKeywordsExperiment DatasetsOther
2025BTCBe the Change You Want to See: Revisiting Remote Sensing Change Detection PracticesTGRS2025Change detection, method optimization, remote sensing, supervised learningSYSU-CD, LEVIR-CD, EGY-BCD, GVLM-CD, CLCD, OSCDLast CommitGitHub stars
2025CMNetCMNet: A CNN–Mamba Network for Change Detection With Similarity Orientation and Difference PerceptionTGRS2025Difference perception, similarity orientation, CNN–MambaDSIFN-CD, LEVIR-CD, SYSU-CDLast CommitGitHub stars
2025MBUKG_DCKRL_CDAn urban change detection method based on multimodal data and knowledge graph technologyIJDE2025Urban change detection, multimodal knowledge graph, multi-source data representation learning, dual cross-attention mechanismA comprehensive dataset comprising VHR images, POI data, and SVI-
2025S-cCDNetSemantic-centric change detection framework: considering spatiotemporal heterogeneity and spatiotemporal correlation of land coverIJDE2025Multi-task learning, prototype representation, spatiotemporal heterogeneity, spatiotemporal correlationSECOND, Landsat-SCDLast CommitGitHub stars
2025CPGNetDetecting semantic changes from VHR remote sensing images by integrating semantic correlations and change priorsJAG2025Semantic correlations; Multi-view; Change prior-guided networkJL1; Xiamen (XM) cropland non-agriculturalization dataset; SECONDLast CommitGitHub stars
2025FoBaFoBa: A Foreground-Background co-Guided Method and New Benchmark for Remote Sensing Semantic Change DetectionarXiv2025foreground background co-guided, bi-temporal interaction, mamba, new benchmarkSECOND, JL1, and the proposed LevirSCDLast CommitGitHub stars
2025GSTM-SCDGSTM-SCD: Graph-enhanced spatio-temporal state space model for semantic change detection in multi-temporal remote sensing imagesISPRS P&RS 2025State space model, Graph optimization, Spatio-temporal modelingSECOND, Landsat-SCD, WUSU and DynamicEarthNetLast CommitGitHub stars
2025Change3DChange3D: Revisiting Change Detection and Captioning from A Video Modeling PerspectiveCVPR2025Perception Feature Extraction, Change Decoder, Caption DecoderWHU-CD, HRSCD, xBD, LEVIR-CD, CLCD, SECOND, LEVIR-CC, and DUBAI-CCLast CommitGitHub stars
2025UA-BCDOvercoming the uncertainty challenges in detecting building changes from remote sensing imagesISPRS P&RS 2025Uncertainty-related theory, Building change detection mapping, Siamese pyramid vision transformerCDD, WHU-CD, GZ-CD, LEVIR-CD, SYSU-CDLast Commit GitHub stars
2025SMGNetSMGNet: A Semantic Map-Guided Multitask Neural Network for Remote Sensing Image Semantic Change DetectionGRSL2025Historical semantic information, pseudochanges, semantic map-guided network, underdetectionHRSCDLast CommitGitHub stars
2024HGINetSemantic change detection using a hierarchical semantic graph interaction network from high-resolution remote sensing imagesISPRS P&RS 2024Hierarchical semantic graph interaction network; Temporal correlations; Semantic difference interactionSECOND, HRSCD, Fuzhou, and XiamenLast CommitGitHub stars
2024STCATowards transferable building damage assessment via unsupervised single-temporal change adaptationRSE2024Unsupervised adaptation, single-temporal learning, semantic change detectionxBD, Turkey–Syria earthquake (2023), Kalehe DRC flooding (2023), Maui Hawaii fire (2023)-
2024ChangeSparseUnifying Remote Sensing Change Detection via Deep Probabilistic Change Models: from Principles, Models to ApplicationsISPRS P&RS 2024Probabilistic change model, sparsity of change, sparse change transformerCDD, S2Looking, California Flood dataset, xBD, SECOND, DynamicEarthNetLast CommitGitHub stars
2024ChangeStar2Single-Temporal Supervised Learning for Universal Remote Sensing Change DetectionIJCV2024Universal change detection, single-temporal supervised learningWHU-CD, CDD, xBD, LEVIR-CD, S2Looking, SpaceNet8, DynamicEarthNet, SECONDLast CommitGitHub stars
2024BiFABiFA: Remote Sensing Image Change Detection With Bitemporal Feature AlignmentTGRS2024Bitemporal interaction, feature alignment, flow fieldWHU-CD, LEVIR-CD, LEVIR-CD+, SYSU-CD, DSIFN-CD, and CLCDLast CommitGitHub stars
2024CDMambaCDMamba: Incorporating Local Clues Into Mamba for Remote Sensing Image Binary Change DetectionTGRS2025Mamba, bitemporal interaction, state space modelWHU-CD, CDD, LEVIR-CD, LEVIR-CD+, and CLCDLast CommitGitHub stars
2024CDMaskRethinking Remote Sensing Change Detection With A Mask ViewarXiv2024Mask view, mask-level Classification, MaskFormerWHU-CD, LEVIR-CD, SYSU-CD, DSIFN-CD, and CLCDLast CommitGitHub stars
2024ChangeMambaChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space ModelTGRS2024Mamba, spatiotemporal relationship, state space modelWHU-CD, xBD, SECOND, LEVIR-CD+, and SYSU-CDLast CommitGitHub stars
2024MaskCDMaskCD: A Remote Sensing Change Detection Network Based on Mask ClassificationTGRS2024Deformable attention, mask classification, masked cross-attentionLEVIR-CD, CLCD, SYSU-CD, EGY-BCD, and GVLM-CDLast CommitGitHub stars
2024M-CDA Mamba-based Siamese Network for Remote Sensing Change DetectionarXiv2024Mamba, state space model, difference ModuleWHU-CD, CDD, DSIFN-CD, and LEVIR-CDLast CommitGitHub stars
2024ScratchFormerRemote Sensing Change Detection With Transformers Trained From ScratchTGRS2024Trained from scratch, shuffled sparse-attention operation, change-enhanced feature fusion,WHU-CD, OSCD, CDD, DSIFN-CD, and LEVIR-CDLast CommitGitHub stars
2024SitsSCDSatellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain ShiftarXiv2024Temporal attention, Temporal shift, Spatial shiftDynamicEarthNet, MUDSLast CommitGitHub stars
20233DCDInferring 3D change detection from bitemporal optical imagesISPRS P&RS 20233D Change Detection, Elevation change detection3DCDLast CommitGitHub stars
2023Siamese KPConvSiamese KPConv: 3D multiple change detection from raw point clouds using deep learningISPRS P&RS 20233D Change Detection, Siamese network, 3D Kernel Point ConvolutionUrb3DCD–V2, AHN-CD, Change3DLast CommitGitHub stars
2023MapFormerMapFormer: Boosting Change Detection by Using Pre-change InformationICCV2023Conditional Change Detection, multi-modal feature fusion, cross-modal contrastive lossHRSCD, DynamicEarthNetLast CommitGitHub stars
2023CACoChange-Aware Sampling and Contrastive Learning for Satellite ImagesCVPR2023Self-supervised learning, Change-Aware Contrastive LossOSCD, DynamicEarthNet, EuroSat, and BigEarthNetLast CommitGitHub stars
2023Self-PairSelf-Pair: Synthesizing Changes from Single Source for Object Change Detection in Remote Sensing ImageryWACV2023Synthetic data, single-temporal supervision, visual similarity in unchanged areaWHU-CD, SpaceNet2, xBD, LEVIR-CDLast CommitGitHub stars
2022ChangerChanger: Feature Interaction is What You Need for Change DetectionTGRS2023Feature InteractionLEVIR-CD, S2LookingLast CommitGitHub stars
2022ChangeMaskChangeMask: Deep Multi-task Encoder-Transformer-Decoder Architecture for Semantic Change DetectionISPRS P&RS 2022Multi-task learning, temporal symmetry, multi-temporalSECOND, Hi-UCDLast CommitGitHub stars
2022FHDFeature Hierarchical Differentiation for Remote Sensing Image Change DetectionGRSL2022Hierarchical differentiation, time-specific featuresDSIFN, LEVIR-CD, LEVIR-CD+, S2LookingLast CommitGitHub stars
2022SST-FormerSpectral–spatial–temporal transformers for hyperspectral image change detectionTGRS2022Hyperspectral, cross-attention, self-attentionFarmland CD dataset, Barbara CD dataset, and Bay Area CD datasetLast CommitGitHub stars
2022CDViTA Divided Spatial and Temporal Context Network for Remote Sensing Change DetectionJSTARS2022Self-attention, spatial-temporal transformerWHU-CD, LEVIR-CDLast CommitGitHub stars
2022ChangeFormerA Transformer-Based Siamese Network for Change DetectionIGARSS2022Transformer Siamese network, attention mechanismDSIFN-CD, and LEVIR-CDLast CommitGitHub stars
2021BITRemote Sensing Image Change Detection with TransformersTGRS2021TransformerWHU-CD, DSIFN-CD, LEVIR-CDLast CommitGitHub stars

CNNs

YearAbbreviationTitlePublicationKeywordsExperiment DatasetsOther
2026ShieldUnsupervised Detection of Disaster-Affected Areas by Combining the Strengths of Change Detection and Anomaly Detection: Target for On-Orbit ApplicationJRS2026On-orbit computing, Unsupervised change detection, anomaly detectionLandslide-Brazil, wildfire-Russia, flood-China-Hebi, and deforestation-New ZealandLast CommitGitHub stars
2025RACDNetTowards resolution-arbitrary remote sensing change detection with Spatial-frequency dual domain learningISPRS P&RS 2025Resolution-arbitrary change detection; Gradient prior; Dual-domain learningWHU-CD, LEVIR-CD, SYSU-CD, and Google datasetLast CommitGitHub stars
2025RIEMDetecting changes without comparing images: Rules induced change detection in heterogeneous remote sensing imagesISPRS P&RS 2025Heterogeneous data, Multimodal, Energy based modelMulti-source dataLast CommitGitHub stars
2025Semantic-TemporalNetSemantic-TemporalNet: A Novel Urban Block Change Detection Method Based on Semantic Coherence AnalysisTGRS2025Sentinel-2, time-series semantic coherence, urban renewalChangsha and Wuhan Sentinel-2 imageryLast CommitGitHub stars
2025TripleSTripleS: Mitigating multi-task learning conflicts for semantic change detection in high-resolution remote sensing imageryISPRS P&RS 2025Multi-task learning, Land-cover and land-useHRSCD, SC-SCD7, CC-SCD5Last CommitGitHub stars
2025CDFNetCross-scenario damaged building extraction network: Methodology, application, and efficiency using single-temporal HRRS imageryISPRS P&RS2025Building damage extraction, cross-scenario, single-temporal, feature decompositionPost-disaster damaged building datasets of Yunnan and Harvey, An auxiliary dataset (two earthquake-prone, one flood-prone, four non-disaster areas), An application testing dataset (eight heterogeneous regions spanning volcano, earthquake, tsunami, wildfire, and hurricane scenarios)-
2025PRO-HRSCDRethinking Semantic Change Detection From a Semantic Alignment PerspectiveTGRS2025Feature space alignment, multitask learning, prototype learningSECOND, and Landsat-SCDLast CommitGitHub stars
2025H-FIENetFlood inundation monitoring using multi-source satellite imagery: a knowledge transfer strategy for heterogeneous image change detectionRSE2024Flood mapping, Multi-source images, Cross-task transformGaofen-2, Gaofen-3, Sentinel-1, and Sentinel-2-
2024STMNetSTMNet: Single-Temporal Mask-Based Network for Self-Supervised Hyperspectral Change DetectionTGRS2024hyperspectral image, multiscale feature, single temporal, maskFarmland dataset, Hermiston dataset, Bay datasetLast CommitGitHub stars
2024ClearSCDThe ClearSCD model: Comprehensively leveraging semantics and change relationships for semantic change detection in high spatial resolution remote sensing imageryISPRS P&RS 2024Multi-task learning, contrastive learning, change vector analysisHi-UCD, LsSCDLast CommitGitHub stars
2024SSLChangeSSLChange: A Self-Supervised Change Detection Framework Based on Domain AdaptationTGRS2024Domain adaption, hierarchical features, image contrastive learningCDD, LEVIR-CDLast CommitGitHub stars
2024U-Net, U-Net SiamDiff, and U-Net SiamConcA Change Detection Reality CheckICLR2024WReality Check, BenchmarkingWHU-CD, LEVIR-CDLast CommitGitHub stars
2024CCNetHarmony in diversity: Content cleansing change detection framework for very-high-resolution remote-sensing imagesISPRS P&RS 2024Feature disentanglement, Content cleansing, Image restorationCDD, LEVIR-CD, xBD, SECOND, SYSU-CD, Multi-temporal xBD-
2023I3PEExchange means change: An unsupervised single-temporal change detection framework based on intra-and inter-image patch exchangeISPRS P&RS 2023Single-temporal change detection, image patch exchange, adaptive clusteringSYSU-CD, SECOND, Wuhan datasetLast CommitGitHub stars
2023A2NetLightweight Remote Sensing Change Detection With Progressive Feature Aggregation and Supervised AttentionTGRS2023Lightweight, progressive feature aggregation, supervised AttentionWHU-CD, LEVIR-CD and SYSU-CDLast CommitGitHub stars
2023DMINetChange Detection on Remote Sensing Images Using Dual-Branch Multilevel Intertemporal NetworkTGRS2023Dual-branch difference acquisition, intertemporal joint-attention, multilevel aggregationWHU-CD, GZ-CD, LEVIR-CD, and SYSU-CDLast CommitGitHub stars
2023AFCF3D-NetAdjacent-level feature cross-fusion with 3D CNN for remote sensing image change detectionTGRS20233D CNN, feature cross-fusion, full-scale connectionWHU-CD, LEVIR-CD, SYSU-CDLast CommitGitHub stars
2023LightCDNetLightCDNet: Lightweight Change Detection Network Based on VHR ImagesGRSL2023Early fusion, lightweight, deep supervised fusionLEVIR-CDLast CommitGitHub stars
2023USSFC-NetUltralightweight Spatial–Spectral Feature Cooperation Network for Change Detection in Remote Sensing ImagesTGRS2023Ultralightweight, multiscale feature extraction, spatial–spectral feature cooperationCDD, DSIFN-CD, LEVIR-CDLast CommitGitHub stars
2023SAR-CDImproved Difference Images for Change Detection Classifiers in SAR Imagery Using Deep LearningTGRS2023Mapping transformation function, SAR, U-NetSCDDLast CommitGitHub stars
2022RDPNetRDP-Net: Region detail preserving network for change detectionTGRS2022Training strategy, edge loss, lightweight backboneCDD,LEVIR-CDLast CommitGitHub stars
2022FFCTLA full-level fused cross-task transfer learning method for building change detection using noise-robust pretrained networks on crowdsourced labelsRSE2022Transfer learning, crowdsourced label,pseudo labelZY-3 building and change detection datasetLast CommitGitHub stars
2022SaDL_CDSemantic-aware Dense Representation Learning for Remote Sensing Image Change DetectionTGRS2022Self-supervised learning, semantic-aware representation learningWHU-CD, GZ-CD, LEVIR-CDLast CommitGitHub stars
2022TinyCDTINYCD: A (Not So) Deep Learning Model For Change DetectionNeural Comput & Applic 2022Lightweight, tiny Model, siamese U-Net architecture, feature interactionWHU-CD, LEVIR-CDLast CommitGitHub stars
2022SDACDAn End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change DetectionPR2022Supervised Domain Adaptation, Image Adaptation, Feature AdaptationCDD, and WHU-CDLast CommitGitHub stars
2022Bi-SRNetBi-temporal semantic reasoning for the semantic change detection in HR remote sensing imagesTGRS2022Triple-branch, semantic correlationsSECONDLast CommitGitHub stars
2022SemiCDRevisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing ImagesarXiv2022Semi-supervised, Consistency RegularizationWHU-CD, LEVIR-CDLast CommitGitHub stars
2022FCCDNFCCDN: Feature Constraint Network for VHR Image Change DetectionISPRS P&RS 2022Self-supervised learning, non-local feature pyramid network, dual encoder-decoder backboneWHU-CD, LEVIR-CD, SECONDLast CommitGitHub stars
2021ChangeStarChange is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing ImageryICCV2021Single-temporal supervision, temporal symmetryxBD, SpaceNet2, WHU-CD, LEVIR-CDLast CommitGitHub stars
2021ChangeOSBuilding damage assessment for rapid disaster response with a deep object-based semantic change detection framework: from natural disasters to man-made disastersRSE2021Semantic change detection, disaster response, OBIAxBD, The Beirut port explosion (2020), The Bata military barracks explosion (2021)Last CommitGitHub stars
2021Optical-SAR-CDSelf-supervised multisensor change detectionTGRS2021Self-supervised, MultisensorOSCD (Sentinel-2 and Sentinel-1)-
2021CEECNetLooking for change? Roll the Dice and demand AttentionRS2021Dice similarity, attention moduleWHU-CD, LEVIR-CDLast CommitGitHub stars
2021ESCNetESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing ImagesTNNLS2021Superpixel segmentation, adaptive superpixel mergingSZTAKI, CDDLast CommitGitHub stars
2021SeCoSeasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing DataICCV2021Self-supervised learningBigEarthNet, EuroSAT, OSCDLast CommitGitHub stars
2021SRCDNetSuper-resolution-based Change Detection Network with Stacked Attention Module for Images with Different ResolutionsTGRS2021Super-resolution, metric learningBCDD, CDD, GZ-CDLast CommitGitHub stars
2021IAug-CDNetAdversarial Instance Augmentation for Building Change Detection in Remote Sensing ImagesTGRS2021Adversarial instance augmentation, synthetic dataWHU-CD, LEVIR-CDLast CommitGitHub stars
2021SNUNet-CDSNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR ImagesGRSL2021Fully convolutional siamese networkCDDLast CommitGitHub stars
2021DDNetChange Detection in Synthetic Aperture Radar Images Using a Dual-Domain NetworkGRSL2021SAR, frequency domainOttawa dataset, Sulzberger dataset, Yellow River datasetLast CommitGitHub stars
2021ACDAHyperspectral anomaly change detection based on autoencoderJSTARS2021Hyperspectral, Anomaly Change Detection, AutoencoderViareggio 2013Last CommitGitHub stars
2018FC-EF, FC-Siam-diff, FC-Siam-concFully convolutional siamese networks for change detectionICIP2018Fully Convolutional Siamese NetworksSZTAKI, OSCDLast CommitGitHub stars

Traditional Methods

YearAbbreviationTitlePublicationKeywordsExperiment Datasets
2025PWTTOpen access battle damage detection via Pixel-Wise T-Test on Sentinel-1 imageryRSE2025Probabilistic change detection; Building damage assessment; Armed conflictUNOSAT damage annotation dataset
2021SiROCSpatial Context Awareness for Unsupervised Change Detection in Optical Satellite ImagesTGRS2021Multitemporal, optical images, unsupervised, urban analysisOSCD, Beirut Harbor Explosion Dataset, Agriculture Dataset, Alpine Dataset
2015CCDCGenerating synthetic Landsat images based on all available Landsat data: Predicting Landsat surface reflectance at any given timeRSE2015Synthetic, Landsat, Surface reflectance, Time series modelSix Landsat scenes at different places in the Conterminous United States
2013SFASlow Feature Analysis for Change Detection in Multispectral ImageryTGRS2013Image transformation, slow feature analysisTaizhou City ETM Data Set, Kunshan City ETM Data
2010CVAPSChange Vector Analysis in Posterior Probability Space: A New Method for Land Cover Change DetectionGRSL2010CVA, land cover change, postclassification comparison (PCC), posterior probability spaceMultitemporal Landsat Thematic Mapper (TM) data for Shunyi District, Beijing, China
2009PCA-KmeansUnsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means ClusteringGRSL2009K-means clustering, multitemporal satellite images, optical images, principal component analysis (PCA)The optical images of Lake Tahoe, Reno, Nevada
2007IR-MADThe Regularized Iteratively Reweighted Multivariate Alteration DetectionTIP2007Canonical correlation analysis (CCA), iteratively reweighted multivariate alteration detection (IR-MAD), MAD transformation, regularization or penalizationPartly Constructed Landsat TM Data, Northern Swede; SPOT HRV Data, Kiambu District, Kenya; Hymap Data, Lake Waging-Taching, Germany
2003ICVALand-Use/Land-Cover Change Detection Using Improved Change-Vector AnalysisPERS2003Improved CVA, Double-Window Flexible Pace Search (DFPS), minimum-distance categorizing techniqueMultitemporal Landsat TM Images of the Haidian District, Beijing, China
1998MADMultivariate Alteration Detection (MAD) and MAF Postprocessing in Multispectral, Bitemporal Image Data: New Approaches to Change Detection StudiesRSE1998Multivariate Alteration Detection (MAD), Maximum Autocorrelation Factor (MAF), Canonical Correlation Analysis (CCA)Two Landsat MSS images of Queensland, Australia; Two AVHRR images of El Niño stages in California Current System
1980CVAChange Vector Analysis: An Approach for Detecting Forest Changes with LandsatLARS symposia 1980Change Vector Analysis, Forest Change Detection, Landsat Multispectral Data, Spatial-Spectral Clustering, Tasseled Cap TransformationLandsat data covering three timber compartments in the Palouse District of Clearwater National Forest, Idaho

Review Papers

YearTitlePublicationDescription
2025遥感智能变化检测的深度学习方法：演变与发展趋势测绘学报2025本文系统综述了深度学习在遥感变化检测中的研究进展，围绕变化特征表达和网络学习策略两大核心问题，梳理了从局部到时空联合、单一到多模态、轻量到大模型、二值到多类别特征表达的发展趋势，以及从全监督向弱/半监督和无监督学习的演进路径，并指出图文融合、生成式模型和人机协同是未来提升智能化水平的关键方向。
2025深度学习遥感变化检测研究进展：像素-对象-场景遥感技术与应用2025本文从像素级、对象级和场景级三个层次系统总结深度学习在遥感变化检测中的研究进展，结合典型案例分析其实际应用，并展望其未来发展趋势。
2025On the use of Graphs for Satellite Image Time SeriesarXiv2025Explores the integration of graph-based techniques for spatio-temporal analysis of satellite image time series, focusing on the construction of spatio-temporal graphs and their applications in tasks such as land cover mapping and water resource forecasting, along with future research perspectives.
2025A Survey of Sample-Efficient Deep Learning for Change Detection in Remote Sensing: Tasks, Strategies, and ChallengesGRSM2025Summarizes literature on deep learning-based change detection methods for different tasks and strategies in sample-limited scenarios, discussing recent advances in image generation, self-supervision, and visual foundation models to address data scarcity.
2025Deep learning change detection techniques for optical remote sensing imagery: Status, perspectives and challengesJAG2025Systematically summarizes datasets, theories, and methods of change detection for optical remote sensing imagery, analyzing AI-based algorithms from the perspective of algorithm granularity and discussing challenges and trends in the AI era. Updates are available at daifeng2016/Awesome-Optical-Remote-Sensing-Datasets-and-Methods.
2024Deep-Learning for Change Detection Using Multi-Modal Fusion of Remote Sensing Images: A ReviewRS2024Explores the application of deep learning for change detection in remote sensing imagery using heterogeneous data sources, including multispectral, hyperspectral, radar, and multitemporal imagery, and discusses public datasets, models, challenges, and future trends.
2024Deep Learning for Satellite Image Time-Series Analysis: A reviewGRSM2024Summarizes state-of-the-art methods for modeling environmental and agricultural variables from satellite image time series (SITS) using deep learning, addressing the complexity of SITS data and its applications in land and natural resource management.
2024Advances and Challenges in Deep Learning-Based Change Detection for Remote Sensing Images: A Review through Various Learning ParadigmsRS2024Comprehensively examines deep learning-based change detection in remote sensing, covering key architectures, learning paradigms (supervised, semi-supervised, weakly supervised, and unsupervised), benchmark datasets, and emerging opportunities such as self-supervised learning, foundation models, and multimodal data fusion, while highlighting current challenges and promising future research directions to advance the field.
2024Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive ReviewRS2024Presents a comprehensive survey of deep learning-based change detection in remote sensing over the past decade, offering a systematic taxonomy from perspectives of algorithm granularity, supervision modes, and frameworks, while reviewing key datasets, evaluation metrics, state-of-the-art performance, and identifying promising future research directions to guide and inspire the community.
2023深度学习的遥感变化检测综述：文献计量与分析遥感学报2023本文综述了基于深度学习的遥感变化检测研究进展，从像素、对象和场景三个粒度系统梳理方法体系，指出对象与场景级方法更具优势，并强调未来需突破多模态异质数据融合、非理想样本处理及多元变化信息提取等挑战，以推动其在多领域更广泛、智能化的应用。
2023人工智能时代的遥感变化检测技术：继承、发展与挑战遥感学报2023本文系统梳理了人工智能时代下光学遥感影像变化检测技术从传统方法向数据—模型—知识联合驱动的智能化转型历程，分析了无监督、监督与弱监督三类方法的发展趋势，并指出未来需重点突破模型可解释性、泛化迁移能力及跨场景跨领域应用等关键瓶颈问题。相关讲解视频详见：【前沿进展】变化检测与深度学习。
20233D urban object change detection from aerial and terrestrial point clouds: A reviewJAG2023Reviews developments in 3D change detection for urban objects using point cloud data, analyzing buildings, street scenes, urban trees, and construction sites, and discusses data sources, methods, and future challenges.
2023Change detection of urban objects using 3D point clouds: A reviewISPRS P&RS 2023Provides a comprehensive review of point-cloud-based 3D change detection for urban objects, covering data registration, variance estimation, change analysis, and applications in land cover monitoring, vegetation surveys, and construction automation.
2022Land Cover Change Detection With Heterogeneous Remote Sensing Images: Review, Progress, and PerspectiveIEEE PROC 2022Provides a comprehensive overview of heterogeneous remote sensing image change detection (Hete-CD), summarizing its literature, major techniques, datasets, performance evaluations, challenges, and future directions to serve as a one-stop reference for researchers and practitioners.
2022Deep learning for change detection in remote sensing: a reviewGSIS2022Analyzes why deep learning enhances remote sensing change detection by examining its improved information representation, methodological advances, and performance gains across spectral, spatial, temporal, and multi-sensor dimensions, while also identifying key limitations and future directions for deep learning change detection development.
2022Land Cover Change Detection Techniques: Very-high-resolution optical images: A reviewGRSM2022Reviews land cover change detection techniques using very-high-resolution remote sensing images, focusing on the ability to capture detailed changes and discussing various methods and applications.
2022A Survey on Deep Learning-Based Change Detection from High-Resolution Remote Sensing ImagesRS2022Reviews deep learning-based change detection methods for high-resolution remote sensing images, categorizing algorithms by network architecture, and discusses datasets, evaluation metrics, challenges, and future research directions.
2022A review of multi-class change detection for satellite remote sensing imageryGSIS2022Provides a comprehensive review of Multi-class Change Detection (MCD) in remote sensing, covering its background, key challenges, benchmark datasets, methodological categories, real-world applications, and future research directions, aiming to fill the gap in existing literature and serve as a foundational reference for advancing fine-grained land change analysis beyond traditional binary detection.
2021Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directionsGRSM2021Provides a comprehensive overview of change detection in very-high-spatial-resolution (≤5 m) remote sensing images, systematically examining current methods, real-world applications, and future research directions to address challenges such as limited spectral information, spectral variability, and geometric distortions.
2020A survey of change detection methods based on remote sensing images for multi-source and multi-objective scenariosRS2020Surveys change detection methods for multi-source remote sensing images and multi-objective scenarios, summarizing a general framework including change information extraction, data fusion, and analysis, and discusses future directions.
2020Change Detection Based on Artificial Intelligence: State-of-the-Art and ChallengesRS2020Reviews the state-of-the-art methods, applications, and challenges of AI for change detection, covering data sources, deep learning frameworks, and unsupervised schemes, and discusses issues like heterogeneous data processing and AI reliability. Updates are available at MinZHANG-WHU/Change-Detection-Review.
2019A Review of Change Detection in Multitemporal Hyperspectral Images: Current Techniques, Applications, and ChallengesGRSM2019Presents a comprehensive review of change detection in hyperspectral remote sensing images, covering fundamental concepts, methodological categories, current techniques, and key challenges, while demonstrating state-of-the-art approaches through experimental results to highlight the unique potential and complexity of exploiting high spectral resolution for fine-scale land-cover change monitoring.
2018多时相遥感影像变化检测方法综述武汉大学学报 (信息科学版) 2018本文系统回顾了多时相遥感影像变化检测技术的发展历程，从预处理、方法分类到精度评价全面梳理研究进展，指出当前尚无普适性通用方法，并分析核心难点与应对策略，旨在推动该领域向更深入、更系统方向发展。
2017多时相遥感影像变化检测的现状与展望测绘学报2017本文围绕多时相遥感影像变化检测的基本流程，从预处理、方法、阈值分割到精度评价系统梳理最新研究进展，总结其在生态环境监测与城市发展等领域的应用，并展望高光谱与高分辨率影像驱动下的未来发展方向。
2017Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applicationsISPRS P&RS 2017Reviews change detection studies based on Landsat time series, covering frequencies, preprocessing steps, algorithms, and applications, and discusses the impact of free access to Landsat data on change detection methodologies.
2016Optical remotely sensed time series data for land cover classification: A reviewISPRS P&RS 2016Reviews the use of optical remote sensing time series data for land cover classification, discussing issues and opportunities in generating annual land cover products and methods for incorporating time series information.
2016SAR影像变化检测研究进展计算机研究与发展2015本文系统梳理了SAR影像变化检测的经典流程与传统方法，重点综述近年来在差异图生成及阈值、聚类、图切、水平集等分析方法上的新兴算法改进，并通过两组数据集定量验证其性能，最后展望了该领域仍需深入研究的关键方向。
2015A critical synthesis of remotely sensed optical image change detection techniquesRSE2015Provides a critical synthesis of remote sensing change detection techniques, organizing the literature by unit of analysis and comparison method to reduce conceptual overlap and guide future research.
2013Change detection from remotely sensed images: From pixel-based to object-based approachesISPRS P&RS 2013Reviews change detection methodologies from pixel-based to object-based approaches, discussing the potential of object-based methods and data mining techniques with the advent of very-high-resolution imagery.
2012Object-based change detectionIJRS2012Discusses object-based change detection (OBCD) using high-spatial-resolution imagery, comparing it with pixel-based approaches and reviewing algorithms and applications for detailed change information extraction.
2012A review of large area monitoring of land cover change using Landsat dataRSE2012Reviews methods for large area monitoring of land cover change using Landsat data, focusing on forest cover change, and discusses radiometric correction, temporal updating, and the impact of free access to terrain-corrected data.
2011多时相遥感影像变化检测综述地理信息世界2011本文系统回顾多时相遥感影像变化检测的发展现状，从环境变化特性出发，围绕预处理、方法分类、精度评估等四大方面梳理技术演进，并提出融合多源数据、集成处理与智能方法的综合解决方案，同时指出当前挑战与应对策略，以推动该领域深入发展。
2005Image change detection algorithms: a systematic surveyTIP2004Provides a systematic survey of image change detection algorithms, covering common processing steps and core decision rules, and discusses preprocessing methods, consistency enforcement, and performance evaluation principles.
2004Digital change detection methods in ecosystem monitoring: a reviewIJRS2004Reviews digital change detection methods in ecosystem monitoring, covering multi-temporal, multi-spectral data techniques, preprocessing routines, and change detection algorithms, and highlights the complementarity between different methods.
2004Change detection techniquesIJRS2004Summarizes and reviews change detection techniques using remote sensing data, highlighting image differencing, principal component analysis, and post-classification comparison as common methods, and discusses emerging techniques like spectral mixture analysis and neural networks.
2003利用遥感影像进行变化检测武汉大学学报 (信息科学版) 2003本文针对遥感影像变化检测的紧迫需求与技术难点，提出影像配准与变化检测同步求解的新思路，并探讨其拓展至三维变化检测的可行性，系统比较七类主流方法，最后指明未来重点研究方向。

Competitions

YearTargetContestTrackImage PairsImage SizeResolutionOther
2025BuildingAI for Earthquake ResponseDetect damaged vs. undamaged buildings by analyzing high-resolution pre- and post-event satellite imagery----
2024Land coverISPRS第一技术委员会多模态遥感应用算法智能解译大赛基于高分辨率可见光图像的感兴趣区域内部变化智能检测4,000512×5122m-
2024Land cover“吉林一号”杯卫星遥感应用青年创新创业大赛高分辨率遥感影像全要素变化检测研究5,000512×512<0.75m-
2023Cropland“吉林一号”杯卫星遥感应用青年创新创业大赛基于高分辨率卫星影像的耕地变化检测8,000256×256<0.75m-
2023Land cover“国丰东方慧眼杯”遥感影像智能处理算法大赛对象级变化检测>6,000512×5121-2m-
2022Land cover“航天宏图杯”遥感影像智能处理算法大赛遥感影像变化检测>6,000512×5121-2m-
2022FloodSpaceNet8: Flood Detection ChallengeFlood Detection Challenge Using Multiclass Segmentation121,300×1,3000.3-0.8mDataset Paper, Solution Paper
2021Land coverIEEE GRSS Data Fusion ContestMultitemporal Semantic Change Detection2,250--Outcome Paper
2021Land coverDynamicEarthNet ChallengeWeakly-Supervised Unsupervised Binary Land Cover Change Detection, Multi-Class Change Detection54,7501,024x1,0243.0Top1 Solution, Dataset Paper
2021Land cover“昇腾杯”遥感影像智能处理算法大赛耕地建筑物变化检测>6,000512×5121-2mTop4 Solution, Top5 Solution
2021Building遥感图像智能解译技术挑战赛遥感图像建筑物变化检测10,000512×512--
2021Building慧眼“天智杯”人工智能挑战赛可见光建筑智能变化检测5,0001,024×1,0240.5-0.7m-
2020Land cover商汤科技首届AI遥感解译大赛变化检测4,662512×5120.5-3mTop1 Solution
2020Land coverSpaceNet 7: Multi-Temporal Urban Development ChallengeMulti-Temporal Urban Development Challenge-1,024×1,0244mSolutions, Dataset Paper
2019BuildingxView2 Challenge (or xBD)Building Damage Assessment11,0341,024×1,024-Dataset Paper

Satellite Data Resources for Disaster Response

NameDescription
Maxar Open Data ProgramThe Maxar Open Data Program provides pre- and post-event satellite imagery (from WorldView-3 and other sensors) for select sudden-onset major crises, along with crowdsourced damage assessments.
吉林一号资源库提供高分辨率卫星影像和专题数据，支持自然灾害监测、农业估产、生态环境保护、水利管理及应急响应等多领域应用。部分数据集仅限教育认证用户。
Planet Disaster DatasetsPlanet makes available select imagery for major disaster events, including major earthquakes, floods, storms, wildfires, and human-made disasters. To download the data, users must complete a form for access qualification.
The International Charter: Space And Major DisastersDisaster mapping results and analyses are available for various global hazards, but the underlying satellite imagery is not directly provided.

More Resources

NameDescription
Hansen Global Forest Change (GEE dataset)Annual global tree cover loss and gain maps at 30m resolution (2000–present), widely used as ground-truth labels and evaluation data for forest change detection research. Produced by the GLAD lab at the University of Maryland. Full-resolution GeoTIFFs are also available via earthenginepartners.appspot.com.
daifeng2016/Awesome-Optical-Remote-Sensing-Datasets-and-MethodsThis repository is for summarizing the latest optical remote sensing datasets and methods, which are listed in review article: Deep learning change detection techniques for optical remote sensing imagery: Status, perspectives and challenges, published in JAG2025.
MinZHANG-WHU/Change-Detection-ReviewA review of change detection methods, including codes and open datasets for deep learning. From paper: Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges, published in RS2020.
DoongLi/Awesome-Scene-Change-DetectionThis repository curates a comprehensive list of resources for scene change detection, including papers, videos, code, and relevant websites. While many change detection studies focus on remote sensing, this collection is specifically dedicated to works tested on street-view scenes and primarily covers methods based on robot vision (especially using image and point cloud data)

Citation

If you find our project useful in your research, please consider citing:

@misc{awesome_rscd_2019,
    title={Awesome Remote Sensing Change Detection},
    author={Awesome RSCD Contributors},
    howpublished = {\url{https://github.com/wenhwu/awesome-remote-sensing-change-detection}},
    year={2019}
}