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Proceedings Paper

Automatic target-recognition system for hyperspectral imagery using ORASIS
Author(s): David Gillis; Peter J. Palmadesso; Jeffrey H. Bowles
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Paper Abstract

We present an automatic target recognition system (ATR) for hyperspectral imagery. The system has been designed to use the output from ORASIS (the Optical Real-time Adaptive Spectral Identification System), a hyperspectral analysis package designed at the Naval Research Laboratory. The ATR system is capable of performing both target recognition (including subpixel identification) and anomaly detection, in near real-time and with no a priori scene knowledge. In this paper we discuss the algorithms we use in the ATR and include experimental results using the HYDICE Forest Radiance data set.

Paper Details

Date Published: 20 August 2001
PDF: 10 pages
Proc. SPIE 4381, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, (20 August 2001); doi: 10.1117/12.437017
Show Author Affiliations
David Gillis, Naval Research Lab. (United States)
Peter J. Palmadesso, Naval Research Lab. (United States)
Jeffrey H. Bowles, Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 4381:
Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII
Sylvia S. Shen; Michael R. Descour, Editor(s)

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