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19 May 2005 Small IR target detection using fast orthogonal search
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Abstract
The problem of target detection in a sequence of infrared images is not an easy task when the target is small, faint and obscured. The problem grows more complex when the target is embedded in a highly structured (correlated) background. In this paper, a new detector for small IR targets is proposed. This detector consists of three main components: a local whitening (demeaning) filter, an orthogonal image modeling algorithm, known as fast orthogonal search (FOS), and finally a first order statistical analysis is exploited for further reduction of false alarms. Experimental results of using the above detector to detect real infrared targets are also included. These results demonstrate that the new detector yields a promising solution for the detection problems of small targets.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
E. Abdelkawy and D. McGaughy "Small IR target detection using fast orthogonal search", Proc. SPIE 5807, Automatic Target Recognition XV, (19 May 2005); https://doi.org/10.1117/12.604740
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