Paper
2 August 2002 Sensor and algorithm performance of the WAR HORSE hyperspectral sensor during the 2001 Camp Navajo wide-area collect
Author Affiliations +
Abstract
The following paper describes a recent data collection exercise in which the WAR HORSE visible-near-infrared hyperspectral sensor was employed in the collection of wide- area hyperspectral data sets. Two anomaly detection algorithms, Subspace RX (SSRX) ans Gaussian Spectral Clustering (GSC), were used on the data and their performance is discussed.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frederick M. Olchowski, Geoffrey G. Hazel, and Christopher M. Stellman "Sensor and algorithm performance of the WAR HORSE hyperspectral sensor during the 2001 Camp Navajo wide-area collect", Proc. SPIE 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, (2 August 2002); https://doi.org/10.1117/12.478785
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KEYWORDS
Sensors

Detection and tracking algorithms

Algorithm development

Computing systems

Hyperspectral imaging

Staring arrays

Data processing

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