【摘要】：利用InSAR形變數(shù)據(jù)進行反演研究時,InSAR數(shù)據(jù)地面空間覆蓋范圍廣,獲取的數(shù)據(jù)點數(shù)量多、密度大,包含有較多的誤差點,會制約反演效率,影響反演結(jié)果的精度.為了提高反演的計算效率,保證迭代收斂,對InSAR形變數(shù)據(jù)進行了降采樣研究,以西藏自治區(qū)當雄縣2008年Mw 6.3級地震的同震形變數(shù)據(jù)為例,研究了基于降低分辨率的3種降采樣方法:最鄰近法、雙線性內(nèi)插法和三次卷積內(nèi)插法,對3種方法所得結(jié)果進行對比分析,結(jié)果表明三次卷積內(nèi)插法最適合InSAR地表形變數(shù)據(jù)的降采樣.為了進一步提高降采樣成果質(zhì)量,對三次卷積內(nèi)插值法進行改進,改進后獲取的降采樣形變數(shù)據(jù)能有效減少采樣點數(shù),較好地保存形變場的細節(jié)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.
【作者單位】： 長安大學地質(zhì)工程與測繪學院;甘肅省測繪地理信息局地圖院;
【基金】：國家自然科學基金項目(41374028) 中央高�；究蒲匈M專項資金項目(310826165025)
【分類號】：P237;P315.7

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