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Volume: 31 | Article ID: 050403
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Efficient Hyperspectral Data Processing using File Fragmentation
  DOI :  10.2352/J.ImagingSci.Technol.2023.67.5.050403  Published Online :  September 2023
Abstract
Abstract

In this article, we present a method for processing hyperspectral data in an easy and quick manner. We explain how we split the hyperspectral cube in different sections to be processed using fewer resources. We describe the processing, which includes extraction of the raw data along with white and black calibration data, calibration of the data and application of desired light source, color space, and gamma transformation. We then present a built-in software, including an easy interactive Graphical User Interface (GUI) that will allow fellow researchers to process hyperspectral images in a simple fashion.

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  Cite this article 

C. Caruncho, P. J. Pardo, H. Cwierz, "Efficient Hyperspectral Data Processing using File Fragmentation"  in Color and Imaging Conference,  2023,  pp 1 - 6,  https://doi.org/10.2352/J.ImagingSci.Technol.2023.67.5.050403

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Copyright © Society for Imaging Science and Technology 2023
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  Article timeline 
  • received May 2023
  • accepted August 2023
  • PublishedSeptember 2023