Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/ShaoRuizhe/SUNet-change_detection
Implementation of paper SUNet: Change Detection for Heterogeneous Remote Sensing Images from Satellite and UAV Using a Dual-Channel Fully Convolution Network
https://github.com/ShaoRuizhe/SUNet-change_detection
Last synced: 3 months ago
JSON representation
Implementation of paper SUNet: Change Detection for Heterogeneous Remote Sensing Images from Satellite and UAV Using a Dual-Channel Fully Convolution Network
- Host: GitHub
- URL: https://github.com/ShaoRuizhe/SUNet-change_detection
- Owner: ShaoRuizhe
- Created: 2021-06-03T07:03:03.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-10-28T16:39:43.000Z (about 2 years ago)
- Last Synced: 2024-07-22T23:49:22.440Z (4 months ago)
- Language: Python
- Homepage:
- Size: 17.6 KB
- Stars: 52
- Watchers: 2
- Forks: 4
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-remote-sensing-change-detection - Shao R, Du C, Chen H, et al. SUNet: Change Detection for Heterogeneous Remote Sensing Images from Satellite and UAV Using a Dual-Channel Fully Convolution Network
README
# SUNet-change_detection
Implementation of paper SUNet: Change Detection for Heterogeneous Remote Sensing Images from Satellite and UAV Using a Dual-Channel Fully Convolution Network
## Abstract:## Requirements:
python 3.6
pytorch 0.4.1
torchvision 0.2.1## Dataset
download HTCD dataset
link:https://pan.baidu.com/s/1cwlbQo5fAmlKkU1eMcGHww
keyword:n854## Quick start
### Make Edge Auxiliary Infromation
python detect_edge.py
### train
python train.py