This repository provides the code for the methods and experiments presented in our paper 'FDLdet: A Change Detector Based on Forward Dictionary Learning for Remote Sensing Images'. (TGRS2024)
If you have any questions, you can send me an email. My mail address is yqunyang@163.com
The based dependencies of runing codes:
torchvision: 0.9.0
torch: 1.8.0
python: 3.8.17
First, use SLIC.ipynb to generate SLIC segmentation results and save them in the /SLIC_DATA folder offline.
Then, use Train.ipynb to train and test the model.