This repository includes codes and dataset for "IRCNN：An Irregular-Time-Distanced Recurrent Convolutional Neural Network for Change Detection in Satellite Time Series", which has been published in IEEE Geoscience and Remote Sensing Letters.
Paper Link: https://ieeexplore.ieee.org/document/9721897
Paper DOI: 10.1109/LGRS.2022.3154894
The materials in this repository are only for study and research, NOT FOR COMMERCIAL USE. Please cite this paper if it is helpful for you.
cuda 10.0
numpy 1.19
pandas 1.1
python 3.6
pytorch 1.8.1
The shape of the input data : (T, B, C, H, W)
T is the length of Time
B is the Batch size
C is the Channels
H is the High of the image patch
W is the Width of the image patch
python train.py
Note there is a config file named Parameter.yaml
python test.py
Remote sensing images (Landast7/8) and ground truth map of five study areas:
Access from Baidu Cloud
Link: https://pan.baidu.com/s/1UhE0N2GcybyjZdIYb8TlGQ
Password: wdzm
Access from Google Drive
Link: https://drive.google.com/drive/folders/1DeJqrVz5luVcwCs-zknvQBY85Ks4X0WP?usp=sharing