20 August 2001 Automatic target-recognition system for hyperspectral imagery using ORASIS
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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.
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David Gillis, Peter J. Palmadesso, 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); doi: 10.1117/12.437017; https://doi.org/10.1117/12.437017
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