AFDE-Net: Building Change Detection using Attention-Based Feature Differential Enhancement for Satellite Imagery
Shimaa Holail ResearchgateShimaa Holail Linkedin, Tamer Saleh, Xiongwu Xiao, and Deren Li
The train and test code will be released soon. The EGY-BCD dataset is available.
| ⚡ | AFDE-Net has been Published in IEEE Geoscience and Remote Sensing Letters (GRSL). DOI: 10.1109/LGRS.2023.3283505 |
|---|
Bi-temporal images in the EGY-BCD dataset are taken from 4 different regions located in Egypt, including New Mansoura, El Galala City, New Cairo, and New Thebes. The figure below shows the building changes in New Mansoura City and New Thebes. Our image data capture time varies from 2017 to 2022. The images feature seasonal changes and different lighting changes in our new dataset, which can help develop effective methods that can mitigate the impact of unrelated changes on real changes.
An overview of the proposed architecture. (a) is the backbone of ADFE-Net. The node 
- Python 3.7
- Pytorch 1.7
Please see requirements.txt for all the other requirements.
- Linknet [paper]
- UPerNet [paper]
- DeepLabV3 [paper]
- Unet [paper]
- Unet++ [paper]
- STANet [paper]
- SNUNet-CD [paper]
- DMINet [paper]
Below is a list of encoders used in this work and their pre-trained weights.
ResNet
| Encoder | Weights | Params, M |
|---|---|---|
| resnet50 | imagenet / ssl / swsl | 23M |
| resnet101 | imagenet | 42M |
RegNet(x/y)
| Encoder | Weights | Params, M |
|---|---|---|
| timm-regnety_120 | imagenet | 49M |
| timm-regnety_160 | imagenet | 80M |
| timm-regnety_320 | imagenet | 141M |
"""
EGY-BCD dataset with pixel-level binary labels；
├————train
| ├———A
| ├———B
| ├———label
|
├————val
| ├———A
| ├———B
| ├———label
|
├————test
| ├———A
| ├———B
| ├———label
"""
A: Images of Time1;
B:Images of Time2;
label: Ground Truth;
each file contains the image names (XXXX.png)
You can download our novel public EGY-BCD dataset through the following link:
- [EGY-BCD]baidu drive Passward: (EGYD)
- [EGY-BCD]google drive
@ARTICLE{10145434,
author={Shimaa Holail, Tamer Saleh, Xiongwu Xiao, and Deren Li},
journal={in IEEE Geoscience and Remote Sensing Letters},
title={AFDE-Net: Building Change Detection Using Attention-Based Feature Differential Enhancement for Satellite Imagery},
year={2023},
volume={20},
number={6006405},
pages={1-5},
doi={10.1109/LGRS.2023.3283505}}
If you have any question about EGY-BCD dataset, please contact [email protected]
Appreciate the work from the following repositories: