Hyperspectral air-to-air seeker

Nahum Gat; Jacob Barhen; Sandeep Gulati; Todd D. Steiner

doi:10.1117/12.179773

8 July 1994 Hyperspectral air-to-air seeker

Nahum Gat, Jacob Barhen, Sandeep Gulati, Todd D. Steiner

Proceedings Volume 2231, Algorithms for Multispectral and Hyperspectral Imagery; (1994) https://doi.org/10.1117/12.179773
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

Citation Download Citation

Nahum Gat, Jacob Barhen, Sandeep Gulati, and Todd D. Steiner "Hyperspectral air-to-air seeker", Proc. SPIE 2231, Algorithms for Multispectral and Hyperspectral Imagery, (8 July 1994); https://doi.org/10.1117/12.179773

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