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Targets detecting in the ocean using the cross-polarized channels of fully polarimetric SAR data

机译:使用全极化SAR数据的交叉极化通道在海洋中进行目标检测

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摘要

Azimuth ambiguities (ghost targets) discrimination is of great interest with the development of a synthet-ic aperture radar (SAR). And the azimuth ambiguities are often mistaken as actual targets and cause false alarms. For actual targets, HV channel signals acquired by a fully polarimetric SAR are approximately equal to a VH channel in magnitude and phase, i.e., the reciprocity theorem applies, but shifted in phase about ±ʌ for the first-order azimuth ambiguities. Exploiting this physical behavior, the real part of the product of the two cross-polarized channels, i.e.()SHVSV H, hereafter calledA12r, is employed as a new parameter for a target detection at sea. Compared with other parameters, the contrast ofA12r image between a target and the surrounding sea surface will be obviously increased whenA12r image is processed by mean filtering algo-rithm. Here, in order to detect target with constant false-alarm rates (CFARs), an analytical expression for the probability density function (pdf) ofA12r is derived based on the complex Wishart-distribution. Because a value ofA12r is greater/less than 0 for real target/its azimuth ambiguities, the first-order azimuth ambiguities can be completely removed by thisA12r-based CFAR technology. Experiments accomplished over C-band RADARSAT-2 fully polarimetric imageries confirm the validity.
机译:随着合成孔径雷达(SAR)的发展,方位角模糊度(重影目标)的识别引起了极大的兴趣。而且方位角模糊通常会被误认为是实际目标,并会引起误报。对于实际目标,通过全极化SAR捕获的HV通道信号的大小和相位均近似等于VH通道,即应用了互易定理,但对于一阶方位角模糊度,其相移约±1/3。利用这种物理行为,两个交叉极化通道乘积的实部即()SHVSV H(以下称为A12r)被用作海上目标检测的新参数。与其他参数相比,采用均值滤波算法处理目标图像与周围海面的对比度将明显增加。在此,为了检测具有恒定误报率(CFAR)的目标,基于复Wishart分布推导了A12r的概率密度函数(pdf)的解析表达式。因为对于实际目标/方位角模糊度,A12r的值大于/小于0,所以可以通过基于A12r的CFAR技术完全去除一阶方位角模糊度。在C波段RADARSAT-2全极化图像上完成的实验证实了有效性。

著录项

  • 来源
    《海洋学报(英文版)》 |2015年第1期|85-93|共9页
  • 作者单位

    0cean Remote Sensing Institute, 0cean University of China, Qingdao 266100, China;

    0cean Remote Sensing Institute, 0cean University of China, Qingdao 266100, China;

    0cean Remote Sensing Institute, 0cean University of China, Qingdao 266100, China;

    College of Information Science & Engineering, 0cean University of China, Qingdao 266100, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-19 03:57:52
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