Research on the application of infrared weak and small target detection algorithm based on SVM posterior probability in weekly vision search system

Zhuo He; Jinsuo Zhang; Xu Chen; Tianzhang Nan

doi:10.1117/12.2505583

12 December 2018 Research on the application of infrared weak and small target detection algorithm based on SVM posterior probability in weekly vision search system

Zhuo He, Jinsuo Zhang, Xu Chen, Tianzhang Nan

Author Affiliations +

Proceedings Volume 10846, Optical Sensing and Imaging Technologies and Applications; 108462S (2018) https://doi.org/10.1117/12.2505583
Event: International Symposium on Optoelectronic Technology and Application 2018, 2018, Beijing, China

Abstract

Infrared weak and small target detection has important application value in military field, and is a hot research topic in the field of target detection. With the research and development of technology, some guiding and innovative detection algorithms are emerging, especially the advantage of machine learning algorithm. In this paper, the infrared week and small target detection is considered as the two classification problem of target and background, and an infrared week and small target detection algorithm based on multiple features SVM posterior probability is proposed and applied to the weekly vision search system. In the experiment, the SVM classification model is obtained by using 8 good segmentation characteristics as the main reference value of the identification target and background, and training the training set through a large number of target and background samples. Finally, the SVM posterior probability is selected as the output of the detection result.The simulation experiment of this algorithm and the application experiment in the transplant week search system show that the method of this method has higher target detection probability (not less than 95%),the false alarm probability is lower, and the time complexity of the algorithm is low, and the hardware resource is less, and it has a good prospect of engineering application.

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Zhuo He, Jinsuo Zhang, Xu Chen, and Tianzhang Nan "Research on the application of infrared weak and small target detection algorithm based on SVM posterior probability in weekly vision search system", Proc. SPIE 10846, Optical Sensing and Imaging Technologies and Applications, 108462S (12 December 2018); https://doi.org/10.1117/12.2505583

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KEYWORDS

Target detection

Detection and tracking algorithms

Infrared radiation

Infrared detectors

Infrared imaging

Image classification

Image filtering

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