LargeImageSetClassifier.m

% Run classification for all the images and store RGB image into RGB image 
% folder and classification outcome into two folders. One of them contain 
% class wise and the other will have the colored classification outcome.

%% hard coded places.

RGB_image_folder = 'G:\3. Hyperspectral\5. Matlab HSI\4. RGB Training Images\';
Gt_from_classification_folder = 'G:\3. Hyperspectral\5. Matlab HSI\5. Ground Truth from classification\';
Image_from_classification_folder = 'G:\3. Hyperspectral\5. Matlab HSI\6. Classification Images ALL BANDS\';


hsiInputImages = 'HSI_9_Bands';
hsiClassificationImages = 'classification';
classification_folder = '';

%%

% Get all the folders in the HSI dataset folder.
homeDirectory = uigetdir;
homeDirectory = strcat(homeDirectory,'\');

dataDirList = dir(homeDirectory);

classifyingLargeDataSet = true;

count = 0;

for nFolder = 1:length(dataDirList)
    if contains(dataDirList(nFolder).name, hsiInputImages)
        
        hsiInputImageDir =  fullfile(homeDirectory, dataDirList(nFolder).name, 'images');
        classification_folder = fullfile(homeDirectory, dataDirList(nFolder).name, hsiClassificationImages);
    end
end

dataFilesList = dir(hsiInputImageDir);

for nDataSet = 1: length(dataFilesList)
    if contains(dataFilesList(nDataSet).name, '.dat')
        count = count + 1
        hsiImagePath = fullfile(hsiInputImageDir, dataFilesList(nDataSet).name);
        
        % Read all the data files.
        %         ReadSpecimData;
        reflectanceCube = hypercube(hsiImagePath);
        %
        %         % Convert RGB images.
        %         CreateTrueColorImage;
        %
        %         % Save RGB images in RGB image folder. (rot_Image)
        %         rgbImageFileName = strcat(dataFilesList(nDataSet).name, 'RGB.png');
        %         generatedRgbPath = fullfile(RGB_image_folder, rgbImageFileName);
        %
        %         imwrite(rot_Image, generatedRgbPath);

        % Classification of HSI using
        %         HSI_Cnn_1D_Dataset;
        
        SVM_Classifier;
           
         % Save classification results. 
         resImageFileName = strcat(dataFilesList(nDataSet).name, '_res.png');                 
         generatedGtPath = fullfile(classification_folder, resImageFileName);
%         
         imwrite(imageResult, generatedGtPath);
%         
%         % Save classified image results.
%         gtImageLabelsFileName = strcat(dataFilesList(nDataSet).name, '_gt_labels.png');
%         generatedGtLabelsPath = fullfile(Image_from_classification_folder, gtImageLabelsFileName);
%         
%         imwrite(rot_ClassifiedImage, generatedGtLabelsPath);

    end
end