
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.
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