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LAND SUBSIDENCE MONITORING BY USING PSI WITH ASCENDING- AND DESCENDING- ORBIT SATELLITE IMAGES

机译:通过将PSI与上升和下降轨道卫星图像结合使用来监测地面沉降

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The land subsidence has been a global serious problem due to climate change and ground water extraction, and the inexpensive land subsidence monitoring technique is highly required. Persistent Scatterers Interferometry (PSI) is the land subsidence measurement method by using multi-temporal synthetic aperture radar (SAR) images, and it can accurately measure wide range of land subsidence. However, the estimated displacement is obtained only along the radar line-of-sight (LOS) direction. Therefore, it is expected to develop a method for measuring three dimensional (3D) displacements by combining multi-directional observation. In this work, we examine the fusion of the displacement results from SAR images observed on ascending- and descending-orbits. First, we estimate the displacement from the ascending- and descending-orbit SAR images, individually. Then, the vertical and horizontal land subsidence components are estimated from the two results. In experiments, we selected Kansai International Airport, located in the western Japan, as a study area because it is reported to show both vertical and horizontal displacements. We used 24 ALOS-PALSAR ascending images from 2006 to 2010 and 14 ALOS-PALSAR descending images from 2006 to 2010. We compared with the annual leveling data the vertical displacement estimated from the ascending-descending combination. The root mean squared error (RMSE) of the velocities by ascending-descending combination analysis was 0.015 m/year. Further investigation is necessary to match pixels that represent the identical location among ascending- and descending- orbit SAR images, and to validate the estimated horizontal displacement.
机译:由于气候变化和地下水开采,地面沉降已成为全球性的严重问题,因此迫切需要廉价的地面沉降监测技术。持久散射干涉测量法(Persistent Scatterers Interferometry,PSI)是一种利用多时相合成孔径雷达(SAR)图像进行的地面沉降测量方法,可以准确地测量大范围的地面沉降。但是,仅沿雷达视线(LOS)方向获得估计的位移。因此,期望开发一种通过组合多方向观察来测量三维(3D)位移的方法。在这项工作中,我们检查了在上升和下降轨道上观察到的SAR图像的位移结果的融合。首先,我们分别从上升轨道和下降轨道SAR图像估计位移。然后,根据这两个结果估算垂直和水平地面沉降分量。在实验中,我们选择了位于日本西部的关西国际机场作为研究区域,因为据报道它既显示了垂直方向的位移,也显示了水平方向的位移。我们使用了2006年至2010年的24幅ALOS-PALSAR上升图像和2006年至2010年的14幅ALOS-PALSAR下降图像。我们将年度平差数据与根据上升和下降组合估算的垂直位移进行了比较。通过上升-下降组合分析得出的速度的均方根误差(RMSE)为0.015 m /年。为了使代表上升轨道和下降轨道SAR图像中相同位置的像素匹配,并验证估计的水平位移,有必要进行进一步研究。

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