dyl96 / ELW_CDNet

An Extremely Lightweight Change Detection Algorithm Based on Light Global-Local Feature Enhancement Module (IEEE GRSL 2023)

An Extremely Lightweight Change Detection Algorithm Based on Light Global-Local Feature Enhancement Module (IEEE GRSL 2023)

This repository contains simple python implementation of our paper ELW_CDNet.

1. Usage

The usage for this repo can reference A2Net

2. Acknowlogdement

This repository is built under the help of the projects A2Net, for academic use only.

3. Results

We use LEVIR-CD and SYSU dataset for experiments. The results are as follows table.

4. Citation

Please cite our paper if you find the work useful:

@ARTICLE{10252072,
  author={Liu, Dongyang and Xie, Baorong and Zhang, Junping and Ding, Rongli},
  journal={IEEE Geoscience and Remote Sensing Letters}, 
  title={An Extremely Lightweight Change Detection Algorithm Based on Light Global-Local Feature Enhancement Module}, 
  year={2023},
  volume={20},
  number={},
  pages={1-5},
  doi={10.1109/LGRS.2023.3315871}}