Three-dimensional surface motion maps estimated from combined interferometric synthetic aperture radar and GPS data
Three-dimensional surface motion maps estimated from combined interferometric synthetic aperture radar and GPS data
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DOI：
10.1029/2001jb000283
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发表时间：
2002-10-01
影响因子：
3.9
通讯作者：
Carstensen, JM
中科院分区：
文献类型：
--
作者：
Gudmundsson, S;Sigmundsson, F;Carstensen, JM
我们提供了一种技术，通过结合合成孔径雷达图像的干涉观测和重复的全球定位系统（GPS）大地测量的地球表面运动信息，有效地产生高分辨率的三维地表运动图。未包裹的干涉图，显示从地面到卫星的像素级范围变化，以及三维运动的稀疏值需要作为输入。将求解全三维运动场的问题分为两个二维问题。首先求出变形场在卫星观测方向上的垂直分量和水平分量。随后，视向分量被分解为北分量和东分量。运动场的初始值被分配到干涉图的每个像素，从可用的GPS观测插值。然后通过与干涉图和GPS观测值的比较更新和优化这些值。另一个约束条件是假定运动场是平滑变化的。采用基于马尔可夫随机场的正则化和模拟退火算法进行优化。这项技术被应用于冰岛西南部雷克雅内斯半岛的地表运动地图。
[1] We provide a technique to efficiently produce high-resolution three-dimensional surface motion maps by combining information about the motion of the Earth's surface from interferometric observations of synthetic aperture radar images and repeated Global Positioning System (GPS) geodetic measurements. Unwrapped interferograms, showing pixel-wise change in range from ground to satellite, and sparse values of three-dimensional movements are required as input. The problem of finding the full three-dimensional motion field is separated into two two-dimensional problems. Initially, the vertical component of the deformation field and its horizontal component in the look direction of the satellite are found. Later, the look direction component is resolved into north and east components. Initial values for the motion fields are assigned to each pixel of interferograms from interpolation of available GPS observations. These values are then updated and optimized by comparison with the interferograms and the GPS observations. An additional constraint is an assumption of a smoothly varying motion field. Markov random field-based regularization and simulated annealing algorithm are used for the optimization. The technique is applied to create surface motion maps for the Reykjanes Peninsula, SW Iceland.