Hyperspectral Python: HypPy

Wim Bakker; Frank van Ruitenbeek; Harald van der Werff; Christoph Hecker; Arjan Dijkstra; Freek van der Meer

doi:10.3390/a17080337

Hyperspectral Python: HypPy

Wim Bakker^*, Frank van Ruitenbeek, Harald van der Werff, Christoph Hecker, Arjan Dijkstra, Freek van der Meer

^*Corresponding author for this work

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Abstract

This paper describes the design, implementation, and usage of a Python package called Hyperspectral Python (HypPy). Proprietary software for processing hyperspectral images is expensive, and tools developed using these packages cannot be freely distributed. The idea of HypPy is to be able to process hyperspectral images using free and open-source software. HypPy was developed using Python and relies on the array-processing capabilities of packages like NumPy and SciPy. HypPy was designed with practical imaging spectrometry in mind and has implemented a number of novel ideas. To name a few of these ideas, HypPy has BandMath and SpectralMath tools for processing images and spectra using Python statements, can process spectral libraries as if they were images, and can address bands by wavelength rather than band number. We expect HypPy to be beneficial for research, education, and projects using hyperspectral data because it is flexible and versatile.

Original language	English
Article number	337
Journal	Algorithms
Volume	17
Issue number	8
DOIs	https://doi.org/10.3390/a17080337
Publication status	Published - 1 Aug 2024

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ITC-GOLD

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10.3390/a17080337Licence: CC BY

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title = "Hyperspectral Python: HypPy",

abstract = "This paper describes the design, implementation, and usage of a Python package called Hyperspectral Python (HypPy). Proprietary software for processing hyperspectral images is expensive, and tools developed using these packages cannot be freely distributed. The idea of HypPy is to be able to process hyperspectral images using free and open-source software. HypPy was developed using Python and relies on the array-processing capabilities of packages like NumPy and SciPy. HypPy was designed with practical imaging spectrometry in mind and has implemented a number of novel ideas. To name a few of these ideas, HypPy has BandMath and SpectralMath tools for processing images and spectra using Python statements, can process spectral libraries as if they were images, and can address bands by wavelength rather than band number. We expect HypPy to be beneficial for research, education, and projects using hyperspectral data because it is flexible and versatile.",

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AU - van der Werff, Harald

AU - Hecker, Christoph

AU - Dijkstra, Arjan

AU - van der Meer, Freek

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Hyperspectral Python: HypPy

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