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Proceedings Paper

The optimization design and robust test of TVF for moving target detection
Author(s): Jinyan Gao; Zaiping Lin; Wei An; Longguang Wang; Zhiheng Fu; Jiahui Wang
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Paper Abstract

In order to detect the dim small target in high frame rate image sequences,an optimized temporal processing technique is investigated. Based on the temporal profile models for noise pixel,target pixel and clutter pixel, we formulate the detection in two steps, pre-processed by Max-median filter and temporal variance filter(TVF). In pre-processing step, three spatial-filtering methods are compared. In temporal profile analysis step, the length of time windows for calculating the mean and variance values are chosen after statistical analysis. Finally, six targets embedded into a scene which contains different types of clouds, and set the adjacent scene to one pixel jitter in any random direction. The simulation results show that we can obtain a relative high signal-to-clutter gain in different regions, which satisfies the requirement of target detection algorithm in high frame rate detection system.

Paper Details

Date Published: 8 March 2017
PDF: 7 pages
Proc. SPIE 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 102553C (8 March 2017); doi: 10.1117/12.2267130
Show Author Affiliations
Jinyan Gao, National Univ. of Defense Technology (China)
Zaiping Lin, National Univ. of Defense Technology (China)
Wei An, National Univ. of Defense Technology (China)
Longguang Wang, National Univ. of Defense Technology (China)
Zhiheng Fu, National Univ. of Defense Technology (China)
Jiahui Wang, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 10255:
Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016
Yueguang Lv; Jialing Le; Hesheng Chen; Jianyu Wang; Jianda Shao, Editor(s)

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