Adaptive multispectral image processing for the detection of targets in terrain clutter

Lawrence E. Hoff; James R. Zeidler; Christopher R. Yerkes

doi:10.1117/12.139365

25 August 1992 Adaptive multispectral image processing for the detection of targets in terrain clutter

Lawrence E. Hoff, James R. Zeidler, Christopher R. Yerkes

Proceedings Volume 1698, Signal and Data Processing of Small Targets 1992; (1992) https://doi.org/10.1117/12.139365
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

In passive detection of small infrared targets in image data, we are faced with the difficult task of enhancing some characteristic of the target or signal while suppressing the clutter or background image noise. We reported that an effective means by which targets may be identified is to exploit characteristics which exist between scenes measured in different bands in the long wave infrared region of the electromagnetic spectrum. These methods are broadly termed multispectral techniques. In this paper we present a method by which a two- dimensional least-mean square adaptive filter is used to distinguish between target and clutter using multispectral techniques.

Citation Download Citation

Lawrence E. Hoff, James R. Zeidler, and Christopher R. Yerkes "Adaptive multispectral image processing for the detection of targets in terrain clutter", Proc. SPIE 1698, Signal and Data Processing of Small Targets 1992, (25 August 1992); https://doi.org/10.1117/12.139365

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