InSAR地表形变数据的降采样
发布时间：2018-07-26 19:38
【摘要】：利用InSAR形变数据进行反演研究时,InSAR数据地面空间覆盖范围广,获取的数据点数量多、密度大,包含有较多的误差点,会制约反演效率,影响反演结果的精度.为了提高反演的计算效率,保证迭代收敛,对InSAR形变数据进行了降采样研究,以西藏自治区当雄县2008年Mw 6.3级地震的同震形变数据为例,研究了基于降低分辨率的3种降采样方法:最邻近法、双线性内插法和三次卷积内插法,对3种方法所得结果进行对比分析,结果表明三次卷积内插法最适合InSAR地表形变数据的降采样.为了进一步提高降采样成果质量,对三次卷积内插值法进行改进,改进后获取的降采样形变数据能有效减少采样点数,较好地保存形变场的细节信息.
[Abstract]:When using InSAR deformation data to carry on the inversion research, the ground space coverage of the InSAR data is wide, the number of data points obtained is large, the density is large, and there are many error points, which will restrict the inversion efficiency and affect the accuracy of the inversion results. In order to improve the calculation efficiency of inversion and ensure iterative convergence, the downsampling of InSAR deformation data is carried out. Taking the coseismic deformation data of 2008 Mw6.3 earthquake in Dangxiong County, Tibet Autonomous region as an example, In this paper, three methods based on reduced resolution are studied: nearest neighbor method, bilinear interpolation method and cubic convolution interpolation method. The results of the three methods are compared and analyzed. The results show that the cubic convolution interpolation method is most suitable for the downsampling of InSAR surface deformation data. In order to further improve the quality of the down-sampling result, the cubic convolution interpolation method is improved. The improved down-sampling deformation data can effectively reduce the sampling points and preserve the detail information of the deformation field.
【作者单位】： 长安大学地质工程与测绘学院;甘肃省测绘地理信息局地图院;
【基金】：国家自然科学基金项目(41374028) 中央高校基本科研费专项资金项目(310826165025)
【分类号】：P237;P315.7
本文编号：2147081
[Abstract]:When using InSAR deformation data to carry on the inversion research, the ground space coverage of the InSAR data is wide, the number of data points obtained is large, the density is large, and there are many error points, which will restrict the inversion efficiency and affect the accuracy of the inversion results. In order to improve the calculation efficiency of inversion and ensure iterative convergence, the downsampling of InSAR deformation data is carried out. Taking the coseismic deformation data of 2008 Mw6.3 earthquake in Dangxiong County, Tibet Autonomous region as an example, In this paper, three methods based on reduced resolution are studied: nearest neighbor method, bilinear interpolation method and cubic convolution interpolation method. The results of the three methods are compared and analyzed. The results show that the cubic convolution interpolation method is most suitable for the downsampling of InSAR surface deformation data. In order to further improve the quality of the down-sampling result, the cubic convolution interpolation method is improved. The improved down-sampling deformation data can effectively reduce the sampling points and preserve the detail information of the deformation field.
【作者单位】： 长安大学地质工程与测绘学院;甘肃省测绘地理信息局地图院;
【基金】：国家自然科学基金项目(41374028) 中央高校基本科研费专项资金项目(310826165025)
【分类号】：P237;P315.7
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，本文编号：2147081
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