Adaptive Multispectral Image Processing for the Detection of Targets in Terrain Clutter

In passive detection of small infrared targets in image data, we are faced with 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 exists between scenes measured in different bands in the Long Wave Infrared LWIR region of the electromagnetic EM spectrum. These methods are broadly termed multispectral techniques. In this paper we present a method by which in two-dimensional least-mean square LMS adaptive filter is used to distinguish between target and clutter using multispectral techniques.