Hyperspectral moving target detection algorithm based on multi-scale fusion

Peiying Shi; Qiang Ling; Jing Wu; Zaiping Lin

doi:10.1117/12.2611286

4 October 2021 Hyperspectral moving target detection algorithm based on multi-scale fusion

Peiying Shi, Qiang Ling, Jing Wu, Zaiping Lin

Proceedings Volume 11929, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2021); 1192906 (2021) https://doi.org/10.1117/12.2611286
Event: International Workshop on Automation, Control, and Communication Engineering, 2021, Virtual Event, China

Abstract

With the development of optical imaging technology, when a hyperspectral camera continuously obtains hyperspectral imageries in a short period of time, temporal information will also become available. Because the spatial-spectral information and historical trajectory play different roles in moving target detection, fusion of different information has become a good framework for moving target detection. However, it is difficult to choose a suitable scale to represent different types of moving targets which have different scales and different moving speeds. To solve this problem, multiscale spatial-spectral detection and multi-scale temporal variance filter is proposed. Experimental results demonstrated that adopting multi-scale fusion strategies in spatial-spectral map and historical trajectory map (MSSH) in real hyperspectral moving target datasets can effectively improve the detection performance of different moving targets.

Citation Download Citation

Peiying Shi, Qiang Ling, Jing Wu, and Zaiping Lin "Hyperspectral moving target detection algorithm based on multi-scale fusion", Proc. SPIE 11929, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2021), 1192906 (4 October 2021); https://doi.org/10.1117/12.2611286

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