How to Use

1. Set Up:

   • Place the hyperspectral .mat files in the appropriate folder.

2. Run the Program:

   • Open the maincode.py file.
   • Modify the file paths for image_path and gt_path as required.

3. Example Usage: Modify the following section in the code to customize your workflow:

   classifier = HyperspectralImageClassifier(
       image_path=r'path_to/Indian_pines_corrected.mat',
       gt_path=r'path_to/Indian_pines_gt.mat'
   )
   
   classifier.read_data()
   classifier.visualize_bands(n=5, save_path=r'path_to/IP_Bands.png')
   classifier.visualize_ground_truth(save_path=r'path_to/IP_GT.png')
   classifier.extract_pixels(save_path=r'path_to/Dataset.csv')
   classifier.apply_pca(n_components=40, save_path=r'path_to/IP_40_PCA.csv')
   classifier.visualize_pca_bands(m=5, save_path=r'path_to/IP_PCA_Bands.png')
   classifier.train_svm()
   classifier.generate_classification_map(save_path=r'path_to/IP_Classification_Map.png')