Journal of Jilin University(Engineering and Technology Edition) ›› 2023, Vol. 53 ›› Issue (11): 3214-3220.doi: 10.13229/j.cnki.jdxbgxb.20220772

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Video SAR moving target detection method based on machine vision

Di WU1(),Ming HE2   

  1. 1.College of Computer and Information Engineering，Heilongjiang University of Science and Technology，Harbin 150024，China
    2.College of Computer Science and Technology，Harbin Engineering University，Harbin 150001，China
  • Received:2022-06-20 Online:2023-11-01 Published:2023-12-06

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Abstract:

In order to solve the problems of low detection integrity and poor detection effectiveness， a moving target detection method for video SAR Based on machine vision is proposed. Firstly， the moving target pixels are matched by Gaussian mixture model to obtain the target region of video SAR moving image. Secondly， the shadow generated by moving target is removed by HSV model and reflectivity algorithm. Finally， the processed target region is input into Yolo algorithm to complete the final video SAR moving target detection. Experimental results show that the proposed algorithm has high detection integrity， high detection rate， low false detection rate and better detection effectiveness.

Key words: Gaussian mixture model, adaptive threshold, HSV model, reflectivity, YOLO algorithm

CLC Number: 

  • TN957.52

Fig.1

Schematic diagram of convolution operation"

Fig.2

Experimental image set"

Fig.3

Detection results of different methods"

Fig.4

Detection rate of different algorithms"

Fig.5

Error rate of different algorithms"

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