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首页> 外文期刊>Photogrammetric Engineering & Remote Sensing: Journal of the American Society of Photogrammetry >Distance Measure Based Change Detectors for Polarimetric SAR Imagery
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Distance Measure Based Change Detectors for Polarimetric SAR Imagery

机译：基于距离测量的极化SAR图像变化检测器

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摘要

Change detection based on multi-temporal SAR images is a fundamental process in many practical applications. Popular SAR change detectors include ratio and logarithmic-ratio (log-ratio) operators, and those based on a statistical similarity between temporal images. The ratio and log-ratio operators are not ideal for polarimetric SAR (POLSAR) images, as only the intensity or amplitude information is used. Change detectors based on similarity comparison of probability distribution functions are difficult to implement and not reliable because of the uncertainties in estimating distribution parameters. Our research aims to find a reliable and computationally simple change detector from among three typical polarimetric distance measures. The change detection potential and abilities of these distance measures are analyzed from a mathematical point of view, and then compared through a test dataset composed of two RADARSAT-2 fine-quad polarized images. The symmetric revised Wishart (SRW) distance, originally developed for image segmentation, is found to be an effective change detector. Based on the test data, the change map derived from the SRW distance achieves 93.24 percent change rate and 5.67 percent false alarm rate. Furthermore, the eigendecompostion of the SRW distance is given for the first time, which uncovers the linkage of the SRW distance with the scattering mechanisms and the corresponding amplitudes embedded in two polarimetric covariance matrices, forming a theoretical explanation for the superiority of the SRW distance as a change detector. Our research indicates the general applicability of the SRW distance for POLSAR change detection.
机译：基于多时间SAR图像的变化检测是许多实际应用中的基本过程。流行的SAR变化检测器包括比率和对数比（log-ratio）运算符，以及基于时间图像之间统计相似性的运算符。比率和对数比运算符对于极化SAR（POLSAR）图像并不理想，因为仅使用强度或幅度信息。基于概率分布函数相似性比较的变化检测器由于估计分布参数的不确定性而难以实施且不可靠。我们的研究旨在从三种典型的极化距离测量中找到一种可靠且计算简单的变化检测器。从数学角度分析了这些距离测量的变化检测潜力和能力，然后通过由两个RADARSAT-2精细四倍偏振图像组成的测试数据集进行了比较。发现最初为图像分割而开发的对称修正Wishart（SRW）距离是一种有效的变化检测器。根据测试数据，从SRW距离得出的变化图达到93.24％的变化率和5.67％的虚警率。此外，首次给出了SRW距离的本征分解，揭示了SRW距离与散射机制的联系以及嵌入在两个极化协方差矩阵中的相应振幅，从而形成了SRW距离优越性的理论解释。变更检测器。我们的研究表明SRW距离在POLSAR变化检测中的普遍适用性。

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