Automatic target-recognition system for hyperspectral imagery using ORASIS

David Gillis; Peter J. Palmadesso; Jeffrey H. Bowles

doi:10.1117/12.437017

20 August 2001 Automatic target-recognition system for hyperspectral imagery using ORASIS

David Gillis, Peter J. Palmadesso, Jeffrey H. Bowles

Proceedings Volume 4381, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII; (2001) https://doi.org/10.1117/12.437017
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

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.

Citation Download Citation

David Gillis, Peter J. Palmadesso, and Jeffrey H. Bowles "Automatic target-recognition system for hyperspectral imagery using ORASIS", Proc. SPIE 4381, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, (20 August 2001); https://doi.org/10.1117/12.437017

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