Journal of Jilin University(Engineering and Technology Edition) ›› 2018, Vol. 48 ›› Issue (6): 1904-1909.doi: 10.13229/j.cnki.jdxbgxb20170984

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Target detecting with conjugate CFAR in VHR SAR image

HUANG Yong1,2,3(),YANG De-yun2,QIAO Sai2,MU Zhen-guo3   

  1. 1. School of Computer Science and Technology, Xidian University, Xi'an 710071,China
    2. School of Information Science and Technology, Taishan University, Taishan 271000,China
    3. Shandong Chengcheng Internet, Taishan 271000,China
  • Received:2017-10-16 Online:2018-11-20 Published:2018-12-11

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Abstract:

The speckle noise causes the target feature unobvious in the SAR image. The traditional CFAR algorithm only considers the strong scattering feature of object, and it is easily affected by much false alarm target. This paper proposes a novel conjugate CFAR algorithm which is more precise for object detection. The conjugate CFAR algorithm extracts the strong scattering feature as the traditional CFAR algorithm does. Then, the shadow feature detection is implemented by modifying the integral interval of the traditional CFAR algorithm. Therefore, the better results can be achieved by deleting the false alarm target according to the spatial relationship between the strong scattering feature and the shadow feature. The experimental results show that the false alarm rate of the algorithm is much lower than that of the traditional CFAR algorithm at the same detection rate.

Key words: information procession technology, object detecting, image semantic, very high resolution, synthetic aperture radar(SAR) image

CLC Number: 

  • TP391.4

Fig.1

Flow chart of algorithm"

Fig.2

Gray statistics of multiple high-R SAR images"

Fig.3

Target left sight scattering madel"

Table 1

Comparison of detecting results"

算法 图像1 图像2
目标数 检测率/% 虚警目标 虚警率/% 目标数 检测率/% 虚警目标 虚警率/%
耦合CFAR 4 100 2 33 3 100 0 0
传统CFAR 4 100 12 75 3 100 13 81
超像素CFAR 4 100 8 67 3 100 6 67

Fig.4

Detecting results"

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