https://github.com/swetshaw/genetic-algorithm-band-selection

https://github.com/swetshaw/genetic-algorithm-band-selection

band-selection genetic-algorithm genetic-algorithm-python genetic-optimization-algorithm hyperspectral-analysis hyperspectral-band-selection hyperspectral-imaging python remote-sensing

Last synced: 4 days ago
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• Host: GitHub
• URL: https://github.com/swetshaw/genetic-algorithm-band-selection
• Owner: swetshaw
• Created: 2020-06-22T06:09:45.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-06-22T06:55:22.000Z (over 4 years ago)
• Last Synced: 2024-04-28T06:03:25.486Z (7 months ago)
• Topics: band-selection, genetic-algorithm, genetic-algorithm-python, genetic-optimization-algorithm, hyperspectral-analysis, hyperspectral-band-selection, hyperspectral-imaging, python, remote-sensing
• Language: Python
• Size: 5.56 MB
• Stars: 6
• Watchers: 2
• Forks: 7
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# genetic-algorithm-band-selection

This repository contains the program to perform band selection for hyperspectral images.

Here we have used Indian_pines dataset from - http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes#Indian_Pines

### ga_utility.py

  - This is a utility file. It contains all the functions required to implement the genetic algorithm for band selection for hyperspectral images

### geneticalgorithm.py

  - This file contains the driver code for running the program.

  

- In this program we are selecting 10 bands out of 200 bands using genetic algorithm. 

- The population consists of 8 individuals

- Each individual has 10 genes.

For running the program run - 

```sh

$ python geneticalgorithm.py

```

 *If you want to use your own dataset change it in the ga_utility.py file.*