Hyperspectral Imaging preprocessing method for raw data acquired from hyperspectral camera? tools or algorithm

Hello everyone,

I captured some images from of hyperspectal imaging system. My final aim to identify the material composition from the images. However before that i need to perform some image preprocessing like

calibration, noise removal, feature extraction , dimensionality reduction. can you please suggest some code or routine to the do these task?

Also after this task, i wanted to apply classification algorithm so it can detect the material from it

Can you guys tell me a way to do in the Matlab. Thanks a ton.

Dakota

Answer 1

[Subhadeep Koley]

You can use Image Processing Toolbox's Hyperspectral Imaging Library support package. It can be downloaded from here.

You can perform tasks like, Radiometric Calibration, Denoising & Sharpening, Dimensionality Reduction, Atmospheric Correction, Material & Target Identification, Spectral Unmixing, Visualization, etc. with this library.

Not sure, in which format you've collected the data, but the library supports a wide variety of file formats including NITF, ENVI, TIFF, MTL, etc.

Here are a few examples on how to use this library.

For more information on Hyperspectral Imaging Library see the documentation.

Answer 2

[Tien]

i want to code matlab calculate and order ICS scores hyperspectral imaging from raw file