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Comparison of HH and VV Polarizations for Deformation Estimation using Persistent Scatterer Interferometry

机译:HH和VV极化的持久散射散射干涉法估计变形的比较

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Persistent Scatterer Interferometry technique (PSI) exploits time series of interferometric SAR data to estimate deformation over an area. The process involves analysing stable phase pixels from differential interferograms formed with respect to a single master. In this study, eight RADARSAT-2 C-band fine quad polarization images from 2014 to 2016 are used to identify Persistent Scatterer (PS) points and estimate deformation over Vijayawada city in India. With a full graph approach, 29 interferograms are generated. All the interferograms are unwrapped to aid stable deformation estimation. The prime objective of our research is to study the effect of HH and VV polarizations in PS point selection and deformation estimation. Initially, pixels with Amplitude Stability Index > 0.75 are selected as PS points. Later, PS pixels exhibiting temporal coherence > 0.75 and reflectivity > 1 are selected for deformation estimation. Before refinement, PS points for HH and W polarization are identified as 49409 and 48395 respectively, whereas after refinement, they are about 24063 and 34389. Atmospheric Phase Screen (APS) is estimated and removed using a filtering approach. After APS removal, mean line of sight (LOS) displacement and velocity maps are generated. A linear model is used to invert displacements into velocities. Velocity obtained using HH polarized data ranges from+ 16 to -14 mm/year, and for VV it ranges from+12 to -19 mm/year. The deformation trend is linear throughout the observation period except in October 2014. Deformation around this month shows up and down pattern. We attribute this observation to the devastating Hudhud cyclone that hit the state of Andhra Pradesh in October 2014. Atmospheric variations due to the presence of strong troposphere component varied radar signal delay before and after the cyclone. Excluding this phenomenon, time series plots of selected points showed linear deformation pattern in both polarizations.
机译:持久散射干涉技术(PSI)利用干涉SAR数据的时间序列来估计区域内的变形。该过程涉及从相对于单个原版形成的差分干涉图分析稳定相位像素。在这项研究中,使用了2014年至2016年的8枚RADARSAT-2 C波段精细四极化图像来识别持久散射点(PS),并估算印度维杰亚瓦达市的形变。使用全图方法时,会生成29个干涉图。所有干涉图均已展开,以帮助进行稳定的变形估计。我们研究的主要目的是研究HH和VV极化对PS点选择和变形估计的影响。最初,选择振幅稳定性指数> 0.75的像素作为PS点。之后,选择表现出时间相干性> 0.75和反射率> 1的PS像素进行变形估计。在精炼之前,用于HH和W极化的PS点分别标识为49409和48395,而在精炼之后,它们分别是24063和34389。大气相位屏蔽(APS)估计并使用滤波方法删除。去除APS后,将生成平均视线(LOS)位移和速度图。线性模型用于将位移转换为速度。使用HH极化数据获得的速度范围为+16至-14毫米/年,而VV范围为+12至-19毫米/年。除2014年10月外,整个观测期的变形趋势都是线性的。本月前后的变形呈上升和下降的趋势。我们将此观测结果归因于2014年10月袭击安得拉邦的毁灭性Hudhud气旋。由于强烈的对流层成分的存在,造成了大气变化,从而改变了旋风前后的雷达信号延迟。除此现象外,选定点的时间序列图在两个极化中均显示出线性变形模式。

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