Read and Extract channel data from Hyperspectral images

I have a hyperspectral tile which incl 3 x files:-

a. A data file of type "file".

b. An 'enp' file with the same name.

c. An 'HDR' file with the same name.

I want to extract different wavelenghts from this tile, view different channels, view image as RGB etc.

What tool should i use. I tried PLS+MIA toolbox but it gives error.

Answer 1

[Subhadeep Koley]

You can use the hypercube(__) function to read and explore hyperspectral images.

% Read the hyperspectral image (specify your image file name here)
hCube = hypercube('jasperRidge2_R198.hdr');

% Compute RGB, CIR, and falsecolored image
rgbImg = colorize(hCube, 'method', 'rgb', 'ContrastStretching', true);
cirImg = colorize(hCube, 'method', 'cir', 'ContrastStretching', true);
fcImg = colorize(hCube, 'method', 'falsecolored', 'ContrastStretching', true);

% Visualize results
figure
tiledlayout(1, 3)
nexttile
imagesc(rgbImg)
axis image off
title('RGB image')

nexttile
imagesc(cirImg)
axis image off
title('CIR image')

nexttile
imagesc(fcImg)
axis image off
title('False-colored image')

For visualization of individual pixel spectra / hyperspectral band image you can use the interactive hyperspetralViewer App. e.g.

% Launch hyperspectral viewer
hyperspectralViewer(hCube)

Note: All the above mentioned fetures come under Image Processing Toolbox's Hyperspectral Imaging Library support package, and can be downloaded from here.