Image Processing Toolbox Hyperspectral Imaging Library

Import, export, process, and visualize hyperspectral data

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Updated 15 Mar 2023

Image Processing Toolbox™ Hyperspectral Imaging Library provides MATLAB® functions and tools for hyperspectral image processing and visualization.

Use the functions in this library to read, write, and process hyperspectral data captured by using the hyperspectral imaging sensors in a variety of file formats. The library supports national imagery transmission format (NITF), environment for visualizing images (ENVI), tagged image file format (TIFF), and metadata text extension (MTL) file formats.

The library presents a set of algorithms for endmember extraction, abundance map estimation, dimensionality reduction, band selection, spectral matching, and anomaly detection.

The Hyperspectral Viewer app enables you to read hyperspectral data, visualize individual band images and their histograms, create a spectrum plot for a pixel or region in a hyperspectral data cube, generate color or false-color representations of hyperspectral images, and display metadata.

For more information on Hyperspectral Imaging Library see the documentation - /help/images/hyperspectral-image-processing.html

MATLAB Release Compatibility
Created with R2020a
Compatible with R2020a to R2023a
Platform Compatibility
Windows macOS Linux

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