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Terrain topography measurement using multipass polarimetric synthetic aperture radar data

机译:使用多程极化合成孔径雷达数据进行地形测量

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A method has been investigated for the measurement of topography using airborne fully polarimetric synthetic aperture radar (SAR) data. Terrain slopes in both the range and azimuthal directions have been estimated using multipass flight geometries. Using these slope values, the Poisson equation was then solved to create a Digital Elevation Model (DEM) of the terrain topography. The method measures polarimetric orientation angles which are then converted into terrain slopes in the azimuthal direction. The conversion of these orientation angles into terrain slopes requires additional knowledge of the radar look angle and the range direction terrain slopes. The solution for slopes is, therefore, a problem coupled between the range and azimuthal directions. For specialized multipass flight geometries these orthogonal terrain slopes are solved for, and maps of terrain slopes are produced. In particular, the processing of two-pass orthogonal and two-pass antiparallel (headings Θ and Θ+ 180°) NASA - Jet Propulsion Laboratory airborne SAR data sets has been carried out for an area in central California. When orthogonal slopes are derived using either of these data sets, a digital elevation model may be generated. The L band, polarimetric SAR (POLSAR) DEM created by this solution is compared to a coregistered C band, interferometric SAR (IFSAR) DEM. Similar comparisons are made for terrain slopes in the azimuthal - range directions which are generated by the POLSAR and IFSAR elevation data. The polarimetric SAR, operating from an aircraft, or satellite, in a strip-mapping mode, is capable of measuring terrain topography for large areas provided that phase-preserving fully polarimetric data are taken. Polarimetric SAR data are also widely used for studies of crop classification, surface roughness, biomass density, and soil moisture content. All of these studies are adversely affected by scattering changes attributable to topography. The technique investigated here potentially offers a means to correct for these effects by making simultaneous, coregistered estimates of local orthogonal terrain slopes.
机译:已经研究了一种使用机载全极化合成孔径雷达(SAR)数据测量地形的方法。已经使用多程飞行几何来估计范围和方位方向上的地形坡度。然后使用这些斜率值求解泊松方程,以创建地形地形的数字高程模型(DEM)。该方法测量极化取向角,然后将其转换为方位角上的地形坡度。将这些方向角转换为地形坡度需要了解雷达的视角和距离方向地形坡度。因此,斜率的解决方案是范围和方位方向之间耦合的问题。对于特殊的多程飞行几何形状,可以解决这些正交的地形坡度,并生成地形坡度图。特别是,已经在加利福尼亚州中部地区进行了两遍正交和两遍反平行(航向角Θ和Θ+ 180°)NASA-喷气推进实验室机载SAR数据集的处理。使用这些数据集中的任何一个导出正交斜率时,都可以生成数字高程模型。将通过此解决方案创建的L波段极化SAR(POLSAR)DEM与共同注册的C波段干涉式SAR(IFSAR)DEM进行比较。对于由POLSAR和IFSAR高程数据生成的方位角-范围方向上的地形坡度也进行了类似的比较。如果采用了相位保持全极化数据,则在带状映射模式下从飞机或卫星运行的极化SAR能够测量大面积的地形。极化SAR数据也广泛用于研究农作物的分类,表面粗糙度,生物量密度和土壤含水量。所有这些研究都受到归因于地形的散射变化的不利影响。此处研究的技术可能通过同时对局部正交地形坡度进行共注册估计来提供纠正这些影响的方法。

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