This is a simple change detection tutorial based on the ResUnet and a self-made LEVIR-CD dataset. Please check the jupyter notebook for the details.
To run the code, please first unzip the LEVIR_CD.zip to your local environment.
We are developing a unified change detection (UCD) framework that implements more than 18 change detection approaches and have more than 70 available models. The codes will be released here.
MaskCD: MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification
MLDANet: Multilevel Deformable Attention-Aggregated Networks for Change Detection in Bitemporal Remote Sensing Imagery