图像处理工具箱™高光谱成像braryprovides 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, radiometric and atmospheric correction, dimensionality reduction, band selection, spectral matching, and anomaly detection.
TheHyperspectral Viewerapp 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.
To perform hyperspectral image analysis, download theImage Processing Toolbox Hyperspectral Imaging Libraryfrom the Add-On Explorer. For more information on downloading add-ons, seeGet and Manage Add-Ons.
Hyperspectral Viewer | Visualize hyperspectral data |
Getting Started with Hyperspectral Image Processing
Basics of hyperspectral image processing.
Explore Hyperspectral Data in the Hyperspectral Viewer
This example shows how to explore hyperspectral data using theHyperspectral Viewer应用程序。
Describes radiometric calibration and atmospheric correction.