A semantic template matching framework for remote sensing image registration

TensorFlow implementation of semantic template matching.

Requirements

Please use Python 3.7, install NumPy, OpenCV (3.4.2) and TensorFlow (2.0.0).

train sample

data
google earth image	https://drive.google.com/drive/folders/1LV8n80daRKCySmCCQ1nZP6lB4aRsN3CM?usp=sharing
landsat-8
GF-2
SAR-optical	https://drive.google.com/drive/folders/12x2m2temb5IdUjUfhWuEzCK1sXXT2ZME?usp=sharing

Example of a training data

reference image----------------------,---------------------template image,---------------------------,label

Get started

First download the training data, place it under the project, and then generate the .tfrecord file using the code in generate data.

Training scripts

Training semantic template matching models using model files

ISPRS paper

Li L, Han L, Ding M, et al. A deep learning semantic template matching framework for remote sensing image registration[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2021, 181: 205-217.