A deep learning-based attribute adaptive infrared maritime ship target detection method

Yi Wu; Chuangang Xu; Ting Li; Keming Yao; Bing Han

doi:10.1117/12.2579752

5 November 2020 A deep learning-based attribute adaptive infrared maritime ship target detection method

Yi Wu, Chuangang Xu, Ting Li, Keming Yao, Bing Han

Proceedings Volume 11563, AOPC 2020: Infrared Device and Infrared Technology; 115630F (2020) https://doi.org/10.1117/12.2579752
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China

Abstract

In order to solve the problem of small data set, this paper uses the invariance of distinguishing features between the simulated infrared image of maritime ship and real infrared image of maritime ship, studies a method of detecting infrared maritime ship target with no real data. At the same time, we propose an attribute adaptive learning strategy based on deep learning algorithm of yolov3. In the case of low data support, the detection capabilities of infrared maritime ship target have been improved.

Citation Download Citation

Yi Wu, Chuangang Xu, Ting Li, Keming Yao, and Bing Han "A deep learning-based attribute adaptive infrared maritime ship target detection method", Proc. SPIE 11563, AOPC 2020: Infrared Device and Infrared Technology, 115630F (5 November 2020); https://doi.org/10.1117/12.2579752

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