https://github.com/immortal13/SVM-hyperspectral-image-classification

support vector machine (SVM) for hyperspectral image classification
https://github.com/immortal13/SVM-hyperspectral-image-classification

Last synced: 2 days ago
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support vector machine (SVM) for hyperspectral image classification

• Host: GitHub
• URL: https://github.com/immortal13/SVM-hyperspectral-image-classification
• Owner: immortal13
• Created: 2023-07-14T07:45:02.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-01-25T09:07:30.000Z (5 months ago)
• Last Synced: 2024-03-15T02:39:39.134Z (4 months ago)
• Language: Python
• Size: 5.57 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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• awesome-hyperspectral-image-classification - SVM

README

        
# SVM-hyperspectral-image-classification

Support vector machine (SVM) with grid search for hyperspectral image classification

## Setup

`pip install -r requirements.txt`

## Train and test

run the code using:

30 samples for each class

`python main.py --model SVM_grid --dataset IndianPines --training_sample 30`

## Record classification result

![classification accuracy](https://github.com/immortal13/SVM-hyperspectral-image-classification/assets/44193495/ad5ffb6f-8148-4198-9eb7-6ce2c7b68baf)

This code is constructed based on [DeepHyperX](https://github.com/nshaud/DeepHyperX), thanks~💕.