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结合In SAR和ICESat测高数据,以东南极PANDA断面4个实验区为例,进行DEM生成研究.在干涉相位转换成高程前,引入ICESat测高数据作为控制点优化干涉对基线,消除基线线性误差趋势的影响.利用控制点之外的ICESat测高数据分析4个实验区的DEM精度及其差异,并探讨了引起DEM误差的原因.冰流和地貌特征是影响In SAR生成冰盖DEM精度的重要因素.针对冰流的影响,从理论上进行了分析并结合冰流速数据进行了分析验证.最后利用克里金插值法改正In SAR DEM残余误差,并利用GPS实测控制点对改正效果进行验证.结果表明:对于高纬区流速较小且分布一致的区域,改正效果很好,DEM精度可达3 m;而对于冰流速较大且复杂的地区,需采用多基线等算法进一步消弱冰流引入的误差.
Combining the In SAR and ICESat altimetry data, taking the four experimental zones of the PANDA section in the East Antarctic as an example, we study the DEM generation.With the ICESat altimetry data as the control point, we can optimize the interference baseline to eliminate the baseline linearity Error trend.Using the ICESat altimeter data outside the control point to analyze the accuracy and difference of DEM in the four experimental areas and discuss the cause of the DEM error.The ice flow and the geomorphic characteristics are the influences of the DEM accuracy .According to the influence of ice flow, the theoretical analysis and the ice flow velocity data are used to analyze and verify.Finally, the residual error of In SAR DEM is corrected by using the Kriging interpolation method, and the correction effect is measured by GPS control points The results show that the accuracy of DEM is very good and the accuracy of DEM is up to 3 m for the areas with small flow velocities and high distribution in the high latitudes. The introduction of ice flow error.