LightCDNet

The implementation for A Lightweight Siamese Neural Network for Building Change Detection Using Remote Sensing Images, PDF Version.

Codes are for noncommercial use only. For commercial use, please contact us.

Requirements

Python 3.6 torch ==1.9.0 torchvision==0.10.0

Dataset

original sources

LEVIR-CD

WHU-CD

image pairs with 256 × 256 pixels using in the paper

LEVIRCD

Baidu Cloud: https://pan.baidu.com/s/15fpv_aFf31x1YVdCExnKYA (code: 6dmz)

WHUCD

Baidu Cloud:https://pan.baidu.com/s/1A2iYGRuq1aVJrsz3TK1KGw (code: rh54)

Citation

MDPI and ACS Style

Yang, H.; Chen, Y.; Wu, W.; Pu, S.; Wu, X.; Wan, Q.; Dong, W. A Lightweight Siamese Neural Network for Building Change Detection Using Remote Sensing Images. Remote Sens. 2023, 15, 928. https://doi.org/10.3390/rs15040928

AMA Style

Yang H, Chen Y, Wu W, Pu S, Wu X, Wan Q, Dong W. A Lightweight Siamese Neural Network for Building Change Detection Using Remote Sensing Images. Remote Sensing. 2023; 15(4):928. https://doi.org/10.3390/rs15040928

Chicago/Turabian Style

Yang, Haiping, Yuanyuan Chen, Wei Wu, Shiliang Pu, Xiaoyang Wu, Qiming Wan, and Wen Dong. 2023. "A Lightweight Siamese Neural Network for Building Change Detection Using Remote Sensing Images" Remote Sensing 15, no. 4: 928. https://doi.org/10.3390/rs15040928