Available with Image Analyst license.
The Spectral Analysis toolset contains tools for performing spectral analysis on multiband and hyperspectral imagery.
Hyperspectral imagery is a type of remote sensing technology that captures and analyzes information from across the electromagnetic spectrum in numerous, narrowly defined wavelength bands. Airborne and satellite hyperspectral sensors collect imagery data across hundreds, or even thousands, of contiguous spectral bands, each representing a very narrow range of wavelengths. The high spectral resolution of hyperspectral imagery allows objects and materials to be identified based on their unique spectral signature and other analytical characteristics.
| Tool | Description |
|---|---|
Classifies a multiband raster dataset using spectral matching techniques. The input spectral data can be provided as a point feature class or a .json file. | |
Processes a multiband or hyperspectral image and creates an anomaly score raster. An anomaly score raster is a single band raster, with values between 0 and 1. | |
Performs subpixel classification and calculates the fractional abundance of different land-cover types for individual pixels. |