Air target tracking method based on spectral unmixing

Siman Lv; Tianxu Zhang; Shuai Dong

doi:10.1117/12.2537905

14 February 2020 Air target tracking method based on spectral unmixing

Siman Lv, Tianxu Zhang, Shuai Dong

Proceedings Volume 11429, MIPPR 2019: Automatic Target Recognition and Navigation; 114290D (2020) https://doi.org/10.1117/12.2537905
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

Because the spatial resolution of remote sensing equipment is low, how to accurately obtain the true spectrum of the target to guide the stable tracking of the target is a complex problem. This paper proposes an air moving target tracking method based on spectral unmixing. Firstly the target abundance is obtained through the pretreatment of infrared image, secondly, accurate spectrum of target is acquired based on the linear combination relationship between the background spectrum and the measured spectrum, and then corrected by the atmosphere, that is, the object side is obtained. Accurate spectrum. Through the spectral feature comparison, the target tracking is guided according to the fingerprint information of the precise spectrum. A large number of field experiments prove that this method can accurately measure the weak targets in the remote sensing background, improve the stability and accuracy of tracking, and lay a foundation for the subsequent remote sensing target recognition.

Citation Download Citation

Siman Lv, Tianxu Zhang, and Shuai Dong "Air target tracking method based on spectral unmixing", Proc. SPIE 11429, MIPPR 2019: Automatic Target Recognition and Navigation, 114290D (14 February 2020); https://doi.org/10.1117/12.2537905

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