Research on improved faster R-CNN polarization image detection method

Rongchang Wang; Shuo Wang

doi:10.1117/12.2627096

27 March 2022 Research on improved faster R-CNN polarization image detection method

Rongchang Wang, Shuo Wang

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 12169BY (2022) https://doi.org/10.1117/12.2627096
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

Polarization imaging technology is an optical reconnaissance method based on the polarization characteristics of the target, which can simultaneously obtain a variety of information about the target. This information is very useful for visual tasks such as target detection. The traditional polarization parameter map as the input source for target detection has the problems of low accuracy and weak generalization ability. To solve the above problems, this paper builds a polarization parameter feature extraction network on the basis of Faster R-CNN, and adaptively generates polarization parameters. Perform feature extraction. It has been verified that the detection accuracy has been improved compared to the traditional network with polarization parameters as the input source.

Citation Download Citation

Rongchang Wang and Shuo Wang "Research on improved faster R-CNN polarization image detection method", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 12169BY (27 March 2022); https://doi.org/10.1117/12.2627096

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