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https://github.com/vbhavank/Unstructured-change-detection-using-CNN
Unstructured Change detection in satellite imagery
https://github.com/vbhavank/Unstructured-change-detection-using-CNN
aerial-imagery computer-vision machine-learning neural-networks remote-sensing
Last synced: about 2 months ago
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Unstructured Change detection in satellite imagery
- Host: GitHub
- URL: https://github.com/vbhavank/Unstructured-change-detection-using-CNN
- Owner: vbhavank
- License: gpl-3.0
- Created: 2018-04-24T03:14:39.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-03-02T19:01:41.000Z (over 4 years ago)
- Last Synced: 2024-02-17T14:36:20.936Z (7 months ago)
- Topics: aerial-imagery, computer-vision, machine-learning, neural-networks, remote-sensing
- Language: Python
- Homepage:
- Size: 719 KB
- Stars: 59
- Watchers: 8
- Forks: 27
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Unstructured-change-detection-using-CNN
This repository contains implementation of the paper 'Mohammed El Amin, Arabi & Liu, Qingjie & Wang, Yunhong. (2016). Convolutional neural network features based change detection in satellite images. 100110W. 10.1117/12.2243798'.# Instrustion to run the file
The feat.py file accepts the two file paths corresponding to the two input patches as arguments.For example to find Unstructured change in two image patches img1.PNG and img2.PNG, both located in the ./data/ folder by running
$ python feat.py ./data/img1.PNG ./data/img2.PNG