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Proceedings Paper

Hyperspectral air-to-air seeker
Author(s): Nahum Gat; Jacob Barhen; Sandeep Gulati; Todd D. Steiner
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Paper Abstract

Synthetic hyperspectral signatures representing an airborne target engine radiation, a decoy flare, and the engine plume radiation are used to demonstrate computational techniques for the discrimination between such objects. Excellent discrimination is achieved for a `single look' at SNR of -10 dB. Since the atmospheric transmittance perturbs the signature of all objects in an identical fashion, the transmittance is equivalent to a modulation of the target radiance (in the spectral domain). The proper spectral signal decomposition may, therefore, recover the original unperturbed signature accurately enough to allow discrimination. The algorithms described here, and in two accompanying papers, have been tested over the spectral range that includes the VNIR and MWIR and are most appropriate for an intelligent, autonomous, air-to-air or surface-to-air guided munitions. With additional enhancements, the techniques apply to ground targets and other dual-use applications.

Paper Details

Date Published: 8 July 1994
PDF: 9 pages
Proc. SPIE 2231, Algorithms for Multispectral and Hyperspectral Imagery, (8 July 1994); doi: 10.1117/12.179773
Show Author Affiliations
Nahum Gat, Opto-Knowledge Systems, Inc. (United States)
Jacob Barhen, Jet Propulsion Lab. (United States)
Sandeep Gulati, Jet Propulsion Lab. (United States)
Todd D. Steiner, Air Force Wright Lab. (United States)


Published in SPIE Proceedings Vol. 2231:
Algorithms for Multispectral and Hyperspectral Imagery
A. Evan Iverson, Editor(s)

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