This repository contains the official implementation of the

"Unsupervised Domain Adaptation for the Semantic Segmentation of Remote Sensing Images via One-Shot Image-to-Image Translation"

in https://ieeexplore.ieee.org/document/10138565.

Requirements:

- Pytorch 1.11.0

* python 3.8.10

+ Semantic segmentation model (Smp V0.2.1)

Dataset:

SPRS dataset: Potsdam IRRG and Vaihingen IRRG with size (512×512)

train:

To train the I2I translation model (step 1), use the I2I_train folder.

To train the Semantic segmentation model (step 2), use the SemSeg_train folder.

The P_IRRG target one-shot images and V_IRRG target one shot images contain the one-shot image that has been used during the train g of the I2IT

test and evaluate:

Use the last three line of the SemSeg_train.py