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分布式目標(biāo)的極化SAR距離模糊計算方法研究

洪文,  楊士林,  李洋,  張晶晶,  郭勝龍

洪文, 楊士林, 李洋, 張晶晶, 郭勝龍. 分布式目標(biāo)的極化SAR距離模糊計算方法研究[J]. 電子與信息學(xué)報, 2015, 37(6): 1437-1442. doi: 10.11999/JEIT141234
引用本文: 洪文, 楊士林, 李洋, 張晶晶, 郭勝龍. 分布式目標(biāo)的極化SAR距離模糊計算方法研究[J]. 電子與信息學(xué)報, 2015, 37(6): 1437-1442. doi: 10.11999/JEIT141234
Hong Wen, Yang Shi-lin, Li Yang, Zhang Jing-jing, Guo Sheng-long. Study on Polarimetric SAR Range Ambiguity Computation for Distributed Targets[J]. Journal of Electronics & Information Technology, 2015, 37(6): 1437-1442. doi: 10.11999/JEIT141234
Citation: Hong Wen, Yang Shi-lin, Li Yang, Zhang Jing-jing, Guo Sheng-long. Study on Polarimetric SAR Range Ambiguity Computation for Distributed Targets[J]. Journal of Electronics & Information Technology, 2015, 37(6): 1437-1442. doi: 10.11999/JEIT141234

分布式目標(biāo)的極化SAR距離模糊計算方法研究

doi: 10.11999/JEIT141234

Study on Polarimetric SAR Range Ambiguity Computation for Distributed Targets

  • 摘要: 該文提出了一種運(yùn)用協(xié)方差矩陣計算星載全極化SAR距離模糊的方法。首先分析了極化SAR距離模糊的成因及同極化和交叉極化通道間距離模糊能量的差異?，F(xiàn)有的距離模糊計算方法以散射矩陣為主，受相干斑影響，單一像素的散射強(qiáng)度不能表征分布目標(biāo)的反射率，因而在距離向相鄰的像素?zé)o法確定其距離模糊比。針對上述問題該文推導(dǎo)了基于分布目標(biāo)的極化SAR距離模糊的計算方法。結(jié)合Radarsat-2實(shí)測數(shù)據(jù)對這種新方法進(jìn)行了驗(yàn)證。實(shí)驗(yàn)表明，運(yùn)用協(xié)方差矩陣能夠很好地表征分布式目標(biāo)，由它計算得出的距離模糊比是平穩(wěn)、確定的。相比已有算法，所提方法能夠有效計算極化SAR分布式目標(biāo)的距離模糊。
    Abstract: A new approach is proposed to compute spaceborne SAR range ambiguity using covariance matrix. The causation of range ambiguity of spaceborne SAR and the ambiguous energy difference between like-polarized channel and cross-polarized channel are analyzed. In current study, it is common to use polarimetric scattering matrix to compute range ambiguity. Because of the speckle, the scattering matrix of a pixel can not describe the distributed targets precisely. Therefore, it is hard to decide the range ambiguity signal ratio of adjacent pixels. In this paper, the formulation of computing range ambiguity is derived for distributed targets first. Second, this new method is tested by using Radarsat-2 data. The results show that covariance matrix can effectively illustrate distributed targets. The results are smooth and confirmed. The new method is rational to compute range ambiguity of distributed targets.
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出版歷程
  • 收稿日期:  2014-09-23
  • 修回日期:  2015-02-13
  • 刊出日期:  2015-06-19

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