Skip to content

Latest commit

 

History

History
10 lines (6 loc) · 592 Bytes

File metadata and controls

10 lines (6 loc) · 592 Bytes

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