8 March 2017 The optimization design and robust test of TVF for moving target detection
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Proceedings Volume 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016; 102553C (2017) https://doi.org/10.1117/12.2267130
Event: Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 2016, Jinhua, Suzhou, Chengdu, Xi'an, Wuxi, China
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.
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Jinyan Gao, Jinyan Gao, Zaiping Lin, Zaiping Lin, Wei An, Wei An, Longguang Wang, Longguang Wang, Zhiheng Fu, Zhiheng Fu, Jiahui Wang, Jiahui Wang, } "The optimization design and robust test of TVF for moving target detection", 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; https://doi.org/10.1117/12.2267130
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