https://github.com/NightSongs/LightCDNet

LightCDNet: Lightweight Change Detection Network Based on VHR Images
https://github.com/NightSongs/LightCDNet

Last synced: about 2 months ago
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LightCDNet: Lightweight Change Detection Network Based on VHR Images

• Host: GitHub
• URL: https://github.com/NightSongs/LightCDNet
• Owner: NightSongs
• Created: 2023-04-19T06:22:19.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-02-12T05:05:24.000Z (7 months ago)
• Last Synced: 2024-07-23T02:41:36.955Z (about 2 months ago)
• Language: Python
• Homepage:
• Size: 185 KB
• Stars: 35
• Watchers: 1
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-remote-sensing-change-detection - Xing Y, Jiang J, Xiang J, et al. LightCDNet: Lightweight Change Detection Network Based on VHR Images

README

        
## Introduction

The Pytorch implementation for: "LightCDNet: Lightweight Change Detection Network Based on VHR Images" ([IEEE GRSL' 2023](https://ieeexplore.ieee.org/document/10214556))

You can get a PDF version of our paper here: [Google Drive](https://drive.google.com/file/d/1c3aRK_I2hOqf57nVxk1-RMtdG50VneZW/view?usp=drive_link)

![DSFM](https://github.com/NightSongs/LightCDNet/assets/73015485/812b69fd-779a-4fa3-8100-13a9f17f125c)

------------------------------------------------------------------------------------------------------

![LightCDNet](https://github.com/NightSongs/LightCDNet/assets/73015485/d675eeca-665d-43ca-bbe5-9d744cc7d226)

## Abstract

[LEVIR-CD](http://chenhao.in/LEVIR/)

|      Method      | Crop Size | Lr schd | \#Param (M) | MACs (G) | Precision | Recall | F1-Score |  IoU  |

| :--------------: | :-------: | :-----: | :---------: | :------: | :-------: | :----: | :------: | :---: |

| LightCDNet-small |  256x256  |  40000  |    0.35     |   1.65   |   91.36   | 89.81  |  90.57   | 82.77 |

| LightCDNet-base  |  256x256  |  40000  |    1.32     |   3.22   |   92.12   | 90.43  |  91.27   | 83.94 |

| LightCDNet-large |  256x256  |  40000  |    2.82     |   5.94   |   92.43   | 90.45  |  91.43   | 84.21 |

## Notice

The code has been integrated into [Open-CD](https://github.com/likyoo/open-cd/tree/main), welcome to use it!

## Environment installation

This project is implemented based on Open-CD, please refer to the installation method of [Open-CD](https://github.com/likyoo/open-cd/tree/main) 0.x version.

## Usage

(eg: LightCDNet-small)

Train:

```

python tools/train.py configs/lightcdnet/lightcdnet_s_256x256_40k_levircd.py --work-dir ./exp/lightcdnet_s_levir_workdir --gpu-id 0 --seed 602

```

Eval:

```

python tools/test.py configs/lightcdnet/lightcdnet_s_256x256_40k_levircd.py ./exp/lightcdnet_s_levir_workdir/latest.pth --eval mFscore mIoU

```

Visualization:

```

python tools/test.py configs/lightcdnet/lightcdnet_s_256x256_40k_levircd.py ./exp/lightcdnet_s_levir_workdir/latest.pth --format-only --eval-options "imgfile_prefix=tmp_infer"

```

## Citation

If you find this project useful in your research, please consider cite:

```

@ARTICLE{10214556,

  author={Xing, Yuanjun and Jiang, Jiawei and Xiang, Jun and Yan, Enping and Song, Yabin and Mo, Dengkui},

  journal={IEEE Geoscience and Remote Sensing Letters}, 

  title={LightCDNet: Lightweight Change Detection Network Based on VHR Images}, 

  year={2023},

  volume={20},

  number={},

  pages={1-5},

  doi={10.1109/LGRS.2023.3304309}}

```