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Experimental study on accurate height change estimation method based on phase interferometry of band-divided SAR images

机译:基于相位干涉法的波段分割SAR图像精确高度变化估计方法的实验研究

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Synthetic aperture radar (SAR) is an indispensable tool for low visibility ground surface measurement such as in the case of adverse weather or darkness. In recent years, the coherent change detection (CCD) technique has been recently established, which detect a temporal change in the same region according to the phase interferometry of two complex SAR images. However, in the case of general damage assessment following an earthquake or mudslide, the technique requires a height change quantity of the changed surface, such as for a building collapse or road subsidence. To address this issue, this paper proposes a novel height estimation method by exploiting the frequency characteristic of coherence phases obtained using each multiple divided SAR image. The results obtained from experimental data demonstrate that our proposed method offers accurate height change estimation while avoiding degradation of spatial resolution.
机译:合成孔径雷达(SAR)是用于低能见度地面测量的必不可少的工具,例如在恶劣天气或黑暗情况下。近年来,最近建立了相干变化检测(CCD)技术,该技术根据两个复杂SAR图像的相位干涉术来检测同一区域中的时间变化。然而,在地震或泥石流之后进行总体破坏评估的情况下,该技术需要改变表面的高度变化量,例如建筑物倒塌或道路塌陷。为了解决这个问题,本文提出了一种新颖的高度估计方法,该方法利用了利用每个分割后的SAR图像获得的相干相位的频率特性。从实验数据获得的结果表明,我们提出的方法在避免空间分辨率降低的同时提供了准确的高度变化估计。

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