申家全, 闫怀志, 胡昌振. 基于图像熵的探地雷达杂波抑制效果评价[J]. 电波科学学报, 2011, 26(2): 267-271.
      引用本文: 申家全, 闫怀志, 胡昌振. 基于图像熵的探地雷达杂波抑制效果评价[J]. 电波科学学报, 2011, 26(2): 267-271.
      SHEN Jia-quan, YAN Huai-zhi, HU Chang-zhen. Evaluation method based on image entropy for clutter suppression effect of ground-penetrating radar[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2011, 26(2): 267-271.
      Citation: SHEN Jia-quan, YAN Huai-zhi, HU Chang-zhen. Evaluation method based on image entropy for clutter suppression effect of ground-penetrating radar[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2011, 26(2): 267-271.

      基于图像熵的探地雷达杂波抑制效果评价

      Evaluation method based on image entropy for clutter suppression effect of ground-penetrating radar

      • 摘要: 现有的探地雷达杂波抑制效果评价主要使用信杂比方法,需要结合目标特征区域的判断,且目标特征区域的选择受经验和选择方法影响较大。针对此问题,依据目标与背景信号的差异性与图像熵的关系,提出一种不依赖目标特征区域选择的杂波抑制效果评价方法。引入探地雷达合成孔径效果评价的图像熵方法,结合杂波抑制原理,探讨了杂波抑制前后目标特征变化与图像熵的关系;依据图像熵的大小评价不同杂波抑制方法的效果,图像熵越小,杂波抑制效果越好。实验证明:所提的方法可以有效评价常用探地雷达杂波抑制算法的效果。

         

        Abstract: Evaluation method for the standard of signal to clutter ratio(SCR)depends on the selection of target area for ground penetrating radar signals, and the result of area selection by using different methods is different.An evaluation method is introduced for clutter suppression of ground penetrating radar according to the relation of the deferences of target area and background and image entropy instead of the selection of target area.Base on the analysis of the application of image entropy in synthetic aperture algorithm and the theory of clutter suppression, it discusses the relation of the target feature change and image entropy.According to the value of image entropy of ground penetrating radar B-scan, less value shows that the effect of the relating algorithm of clutter suppression of ground penetrating radar is better. Furthermore, it uses SCR to test the result of image entropy, which shows that image entropy can be used as an evaluation standard for ground-penetrating radar clutter suppression effect for common algorithms of clutter suppression.

         

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