Analysis of visible/infrared polarization characteristics of small UAV with complex background of buildings

Ming Wei; Yan Zhang; Zhi-Guang Shi; Jing-hua Zhang; Yu Zhang; Pei-jie Liu

doi:10.1117/12.2580722

10 November 2020 Analysis of visible/infrared polarization characteristics of small UAV with complex background of buildings

Ming Wei, Yan Zhang, Zhi-Guang Shi, Jing-hua Zhang, Yu Zhang, Pei-jie Liu

Author Affiliations +

Proceedings Volume 11584, 2020 International Conference on Image, Video Processing and Artificial Intelligence; 115840T (2020) https://doi.org/10.1117/12.2580722
Event: Third International Conference on Image, Video Processing and Artificial Intelligence, 2020, Shanghai, China

Abstract

The polarization phenomenon of the surface of an object and its changing in different spectra include its surface spatial geometric information and material information. Based on Kirchhoff law and Jones vector , the polarization model of the emission and reflection on the surface of the object is established, and the polarization phenomenon in infrared(IR) and visible light with different materials and incident angles are simulated. The IR and visible binocular polarization imaging system was constructed and the actual polarization data of small unmanned aerial vehicle(SUAV) and buildings were obtained. Two types of characteristic parameters, the degree of polarization and the angle of polarization, were extracted and analyzed, and the results proved that the SUAV and the background of the buildings had obvious differences in IR and visible. This research provides a basis for SUAV target detection and tracking using IR and visible polarization imaging in complex backgrounds.

Citation Download Citation

Ming Wei, Yan Zhang, Zhi-Guang Shi, Jing-hua Zhang, Yu Zhang, and Pei-jie Liu "Analysis of visible/infrared polarization characteristics of small UAV with complex background of buildings", Proc. SPIE 11584, 2020 International Conference on Image, Video Processing and Artificial Intelligence, 115840T (10 November 2020); https://doi.org/10.1117/12.2580722

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