首页> 外文会议>International Conference on Geoinformatics;Geoinformatics 2012 >A Case Study on Co-seismic Ground Deformation of the Wenchuan Earthquake using L-band and C-band SAR Interferometry
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A Case Study on Co-seismic Ground Deformation of the Wenchuan Earthquake using L-band and C-band SAR Interferometry

机译:L波段和C波段SAR干涉法在汶川地震同震地层变形中的应用

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Synthetic aperture radar interferometry (InSAR) has been widely used for the co-seismic ground deformation monitoring. In this paper, The L-band SAR datasets acquired by ALOS PALSAR and C-band acquired by Envisat ASAR are tested respectively for monitoring the co-seismic ground deformation in the area of Dujiangyan, where the Whenchuan Ms8.0 earthquake occurred on May 12, 2008. The displacement on line of sight has been acquired with two-pass DInSAR processing. It is also found that the C-band SAR data results generally have lower coherence over high vegetated and rugged areas, while the L-band SAR with comparatively longer wavelength is more suitable for monitoring the deformation where large displacement over a small spatial extent occurs and the mountainous terrain. However, current satellite radar interferometry, because of its single-frequency signal structure, is hard to measure ground deformation with large gradients as it produce very dense fringe patterns, which cause that the ground displacement deformed in the faults cannot be measured. Although the longer wavelength of the radar signal is less susceptible to high deformation gradients, loss of correlation often still occurs in the faults caused by earthquake. So it is necessary to propose techniques which can monitor largegradient deformation and the data fusion methods of multisource satellite SAR images.
机译:合成孔径雷达干涉仪(InSAR)已被广泛用于同震地面变形监测。本文分别对ALOS PALSAR采集的L波段SAR数据集和Envisat ASAR采集的C波段进行了测试,以监测都江堰地区5月12日发生汶川Ms8.0地震的同震地面变形。 ,2008年。视线位移已通过两次通过DInSAR处理获得。还发现,C波段SAR数据结果通常在高植被和崎区域具有较低的相干性,而波长较长的L波段SAR更适合于监测在小空间范围内发生大位移的变形,并且多山的地形。然而,由于其单频信号结构,当前的卫星雷达干涉测量法很难测量大梯度的地面变形,因为它会产生非常密集的条纹图案,从而导致无法测量出断层中变形的地面位移。尽管较长的雷达信号波长不太容易受到高变形梯度的影响,但在地震引起的断层中通常仍会发生相关性丢失。因此,有必要提出一种能够监测大梯度变形的技术以及多源卫星SAR图像的数据融合方法。

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