Spatial processing techniques for the detection of small targets in IR clutter

David S. K. Chan

doi:10.1117/12.2321786

1 October 1990 Spatial processing techniques for the detection of small targets in IR clutter

David S. K. Chan

Proceedings Volume 1305, Signal and Data Processing of Small Targets 1990; (1990) https://doi.org/10.1117/12.2321786
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

The detection of small targets in infrared (IR) clutter is a problem of critical importance to Infrared Search and Track (IRST) systems. This paper presents techniques for analyzing and improving the detection performance of IRST systems. Only spatial, or single-frame, processing will be addressed. For clutter with spatially slowly varying statistics, our approach is based on linear filtering. Models of target and clutter are developed and used to analyze matched filter performance and sensitivity. This sensitivity analysis is used to improve filter bank design. A clutter classification scheme which can separate clutter of different types is presented. Finally, to improve system performance in the presence of large intensity gradients, such as cloud edges, an improved adaptive threshold scheme is presented.

Citation Download Citation

David S. K. Chan "Spatial processing techniques for the detection of small targets in IR clutter ", Proc. SPIE 1305, Signal and Data Processing of Small Targets 1990, (1 October 1990); https://doi.org/10.1117/12.2321786

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