Maneuvering dim target detection based on space-time salient graph

Ruo-lan Hu; Lu Liu; Jun Jiang

doi:10.1117/12.2538131

14 February 2020 Maneuvering dim target detection based on space-time salient graph

Ruo-lan Hu, Lu Liu, Jun Jiang

Proceedings Volume 11429, MIPPR 2019: Automatic Target Recognition and Navigation; 114290J (2020) https://doi.org/10.1117/12.2538131
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

It is difficult to detect maneuvering dim target from clutter background. It is important to synthesize multiple features to improve the performance of dim target detection. In this paper, one dim target detection method based on space-time salient graph was proposed. Salient analysis was used both on space domain and time domain. One TCF improved filter was designed and used to obtain the time salient graph. And the AC salient filter for dim target was applied to obtain the space salient graph. One fusion strategy was designed to fuse the space salient graph and the time salient graph. The coarse-fine two stages strategy was designed to obtain target detection result. The space-time salient graph was segment to get candidate targets. And then the SCR filter was used to confirm the result of target detection. Experimental results show that proposal method improved the performance of maneuvering dim target detection from clutter background.

Citation Download Citation

Ruo-lan Hu, Lu Liu, and Jun Jiang "Maneuvering dim target detection based on space-time salient graph", Proc. SPIE 11429, MIPPR 2019: Automatic Target Recognition and Navigation, 114290J (14 February 2020); https://doi.org/10.1117/12.2538131

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