Infrared dim target detecting algorithm based on multi-feature and spatio-temporal fusion

Mei Bai; Jian Zhang; Hui Zhao

doi:10.1117/12.2617906

15 February 2022 Infrared dim target detecting algorithm based on multi-feature and spatio-temporal fusion

Mei Bai, Jian Zhang, Hui Zhao

Proceedings Volume 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021); 121666W (2022) https://doi.org/10.1117/12.2617906
Event: Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 2021, Hong Kong, Hong Kong

Abstract

Focusing on the detection of infrared dim targets in space-based imaging systems, a multi-feature and spatio-temporal fusion algorithm is proposed. By analyzing characteristics of target and background in the image, firstly, an algorithm combining TOP-HAT and improved partial differentiation method is proposed for image preprocessing; Secondly, the local entropy feature and local gradient feature of the small target image are extracted from images to fuse, an improved interframe method is used for spatio-temporal fusion to enhance the target signal, then threshold segmentation is used to obtain the detection result. Theoretical analysis and experiments show that the algorithm proposed in this paper can not only suppress the background and enhance the target well; in addition, it is possible to realize the on-chip transplantation of hardware.

Citation Download Citation

Mei Bai, Jian Zhang, and Hui Zhao "Infrared dim target detecting algorithm based on multi-feature and spatio-temporal fusion", Proc. SPIE 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 121666W (15 February 2022); https://doi.org/10.1117/12.2617906

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