Frequency-band comparison using adaptive filter for multispectral imagery

Mohammad Abu-Tahnat; Michael W. Thompson

doi:10.1117/12.241252

31 May 1996 Frequency-band comparison using adaptive filter for multispectral imagery

Mohammad Abu-Tahnat, Michael W. Thompson

Proceedings Volume 2765, Detection and Remediation Technologies for Mines and Minelike Targets; (1996) https://doi.org/10.1117/12.241252
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

The detection of infrared (IR) targets immersed within an observed scene can be difficult when the target is embedded in a dominant clutter background. Multispectral IR imaging techniques for target detection have received increased attention over the past several years. This paper employs adaptive algorithms for reducing the effect of ground clutter in the presence of dependency, nonstationarity and system nonlinearities. Described are multispectral nonlinear adaptive algorithms as part of a detection scheme designed for small and/or dim point targets in IR images. Each spectral image captures a varying degree of target information. Individual scene observations and combined ones will be considered. Comparison between these frequency bands using nonlinear adaptive filters based on second order Volterra series expansion for multispectral imagery will be presented. Simulation results suggest that multispectral processing techniques have the potential for improving the detection of small and hard to find targets.

Citation Download Citation

Mohammad Abu-Tahnat and Michael W. Thompson "Frequency-band comparison using adaptive filter for multispectral imagery", Proc. SPIE 2765, Detection and Remediation Technologies for Mines and Minelike Targets, (31 May 1996); https://doi.org/10.1117/12.241252

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