Adaptive multispectral detection of small targets using spatial and spectral convergence factor

Laurent Nolibe; Julien Borgnino; Marc Ducoulombier; Michel Artaud

doi:10.1117/12.241161

31 May 1996 Adaptive multispectral detection of small targets using spatial and spectral convergence factor

Laurent Nolibe, Julien Borgnino, Marc Ducoulombier, Michel Artaud

Proceedings Volume 2759, Signal and Data Processing of Small Targets 1996; (1996) https://doi.org/10.1117/12.241161
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

The main infrared search and track systems (IRST) purpose is to realize optimal discrimination between true targets and background clutter (false alarm). In such single band systems, two dimensional least mean square (TDLMS) adaptive filter achieve good results in small target detection. However, detection performance are strongly dependent on background correlation length. When difference between background and target correlation length is too small, performance detection decreases. The method presented in this paper is applied to a naval dual band panoramic surveillance system for target detection at low elevation angles. It consists in adjusting the time-varying convergence factor of TDLMS filter, not only by using spatial statistics, but also by integrating a local spectral parameter. The use of this information is based on theoretical spectral radiance discrimination in LWIR and MWIR bands, between targets and backgrounds. When the local spectral parameter matches spectral background response, the filter reactivity is optimum via the spatial convergence factor, whereas it is decreased in the presence of spectral target characteristics. We achieve in this way a better target-to-clutter discrimination and independently of background correlation length.

Citation Download Citation

Laurent Nolibe, Julien Borgnino, Marc Ducoulombier, and Michel Artaud "Adaptive multispectral detection of small targets using spatial and spectral convergence factor", Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996); https://doi.org/10.1117/12.241161

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KEYWORDS

Target detection

Digital filtering

Image filtering

Optical filters

Signal to noise ratio

Error analysis

Long wavelength infrared

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