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4 October 1999 Detection and acquisition of small targets with low signal-to-clutter ratio
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Of particular interest are efficient algorithms of detection and acquisition of small targets with low signal-to-clutter ratio (SCR) for reality applications. Some algorithms like matched filtering (MF), dynamic programming (DPA) and multistage hypothesis test have been proposed. Although some experiments proved that these algorithms have good target detection performance, it is difficult to implement by hardware because of more computational requirement. In this paper one simple; and useful algorithm of the detection and acquisition for small targets with low SCR is presented. Input image is preprocessed with using background normalization and background removal, and SCR of targets of difference value image outputted in improved. After image segmentation with an adaptive threshold is finished, the target detection is performed by continuous multi-frame detection method using spatial-temporal continuous motion features of targets. The targets are identified with multistage continuous filtering and a main target selected is acquired and tracked with the window. Experiments proved that the algorithm could detect small targets with SCR equal to 3 in cloud background. The method has been used for IR tracking system in field and good tracking performance is acquired.
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Zhenfu Zhu, Haochen Liang, Anjun Pan, Bo Song, Genxing Xu, and GuoQiang Ni "Detection and acquisition of small targets with low signal-to-clutter ratio", Proc. SPIE 3809, Signal and Data Processing of Small Targets 1999, (4 October 1999);

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