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function [out] = crop_image(img, patch_size, stride, factor, file_name)
% Normalization for CAVE dataset
%img = double(img)./65535;
% Normalization for Pavia Center dataset
%img = double(img)./8000;
% Normalization for Chikusei dataset
img = double(img);
[H, W, C] = size(img);
p = patch_size;
pat_col_num = 1:stride:(H - p + 1);
pat_row_num = 1:stride:(W - p + 1);
total_num = length(pat_col_num) * length(pat_row_num);
index = 1;
% crop a single patch from whole image
for i=1:length(pat_col_num)
for j = 1:length(pat_row_num)
up = pat_col_num(i);
down = up + p - 1;
left = pat_row_num(j);
right = left + p - 1;
gt = img(up:down, left:right, :);
ms = single(imresize(gt, factor));
ms_bicubic = single(imresize(ms, 1/factor));
gt = single(gt);
file_path = strcat('/Users/miaoyuchun/Desktop/superx2/dataset/Houston_x2/trains_solely/block_', file_name, '_', num2str(index), '.mat');
% file_path = strcat('./dataset/Pavia_x2/trains/block_', file_name, '_', num2str(index), '.mat');
% file_path = strcat('./dataset/Chikusei_x2/trains/block_', file_name, '_', num2str(index), '.mat');
% file_path = strcat('./dataset/Chikusei_x8/trains/block_', file_name, '_', num2str(index), '.mat');
save(file_path,'gt','ms','ms_bicubic','-v6');
index = index + 1;
end
end
out = total_num;
end
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