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A quantitative measure for the quality of INSAR interferograms based on phase differences

机译:基于相位差的INSAR干涉图质量的定量度量

摘要

It is well-known that interferometric SAR (INSAR) is a technology for the generation of high-precision digital elevation models (DEM) and the precise measurement of terrain surface deformation. The accuracy of DEM and deformation measurement is highly dependent on the quality of the interferogram generated. Such an interferogram is constructed by a point-wise complex multiplication of corresponding pixels in both datasets, which are respectively contained in master image and registered image. An exanimation of existing literature reveals that there is no, good, quantitative measure for the quality of interferograms, and visual inspection is still the best solutions available so far. By visual inspection, one recognizes those interferograms with continuous fringes as good ones and regards those with many discontinuous interferograms and speckles as being not good. As the pixels in the interferogram represent the phase value values, it is natural to think that, if the quality is good, the phase differences between neighbor pixels should be small, and thus the sum of all phase differences will still be small. This leads to the proposal of "sum of phase differences" (SPD) as a quantitative measure for the quality of interferogram. Two simulation tests have been conducted, and the results show that the SPD is a reliable measure.
机译:众所周知,干涉SAR(INSAR)是一种用于生成高精度数字高程模型(DEM)和精确测量地形表面变形的技术。 DEM和变形测量的准确性高度取决于所生成干涉图的质量。这种干涉图通过两个数据集中对应像素的逐点复数乘法构造而成,分别包含在主图像和配准图像中。回顾现有文献后发现,目前尚无一种定量的干涉图质量度量方法,而目测检查仍是迄今为止可用的最佳解决方案。通过目视检查,人们将那些具有连续条纹的干涉图识别为好干涉图,并认为那些具有许多不连续干涉图和斑点的干涉图是不好的。由于干涉图中的像素代表相位值,因此自然可以认为,如果质量良好,则相邻像素之间的相位差应该很小,因此所有相位差的总和仍然很小。这导致提出“相位差之和”(SPD)作为干涉图质量的定量度量。已经进行了两次模拟测试,结果表明SPD是一种可靠的措施。

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