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Implementation of DGMA2-Net: A Difference-Guided Mutiscale Aggregation Attention Network for Remote Sensing Image Change Detection

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DGMA2-Net: A Difference-Guided Multiscale Aggregation Attention Network for Remote Sensing Change Detection

Introduction

This repo is the official implementation of https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10504297

                        zhai2-3390206-large

Get Strat

PWC

PWC

PWC

Download three dataset LEVIR-CD, BCDD, SYSU-CD, and prepare datasets into following structure

├─Train
    ├─A
    ├─B
    ├─label
    └─list
├─Val
    ├─A
    ├─B
    ├─label
    └─list
├─Test
    ├─A
    ├─B
    ├─label
    └─list

Train

run ./tools/train.py

Test

run ./tools/test.py

Acknowledgement

This repository is built under the help of the projects TFI-GR for academic use only.

Citation

@ARTICLE{10504297,

author={Ying, Zilu and Tan, Zijun and Zhai, Yikui and Jia, Xudong and Li, Wenba and Zeng, Junying and Genovese, Angelo and Piuri, Vincenzo and Scotti, Fabio},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={DGMA2-Net: A Difference-Guided Multiscale Aggregation Attention Network for Remote Sensing Change Detection},
year={2024},
volume={62},
pages={1-16},
doi={10.1109/TGRS.2024.3390206}
}

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Implementation of DGMA2-Net: A Difference-Guided Mutiscale Aggregation Attention Network for Remote Sensing Image Change Detection

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