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   长时间序列 在 地质学 分类中 的翻译结果: 查询用时:0.212秒
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长时间序列
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    Subsidence velocity retrieval from long-term coherent targets in radar interferometric stacks
    利用长时间序列相干目标获取地面沉降场
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    1. The selection of the Coherent Target (CT) As the objects we study on the long time scale, the accuracy of the selection effects the result of this algorithm directly.
    1、相干点的选择,作为长时间序列地表形变的研究对象,对相干点选择的准确度直接影响了最后反演的结果。
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The state of strain tide observation in China is described ,the harmonic analysis of long-time series of strain tide since 1988 in China are carried out and its results are given in this paper.A summarization on strain tide observation in China for 10 years is also given in the analysis of observational data.

介绍了我国应变固体潮观测的现状,计算并给出了1988年以来我国实际应变固体潮长时间序列的调和分析结果,从资料分析的角度对我国十年来的应变固体潮观测进行了小结。

Distribution of land subsidence could be obtained with long-term coherent targets analysis. Based on the conventional differential InSAR, coherent targets analysis is a new method to identify stable natural reflector, highly coherent pointy target, with multi-temporal SAR images. The test site in our experiment covers about 100 km+2 in the main downtown of Shanghai city. 25 scenes of single look complex images of ERS-1/2 from 1992 to 2000 are chosen as the import data set. The result of CT points over 8 years...

Distribution of land subsidence could be obtained with long-term coherent targets analysis. Based on the conventional differential InSAR, coherent targets analysis is a new method to identify stable natural reflector, highly coherent pointy target, with multi-temporal SAR images. The test site in our experiment covers about 100 km+2 in the main downtown of Shanghai city. 25 scenes of single look complex images of ERS-1/2 from 1992 to 2000 are chosen as the import data set. The result of CT points over 8 years with average temporal sampling of 4 months has been presented in this paper. Without any apriori deformation model, the accuracy of the land subsidence velocity from CTA is less than 5 mm, which satisfies the requirement in monitoring urban subsidence in China. This investigation shows the potential of CTA approach in monitoring land deformation on a large temporal/spatial scale.

本文利用长时间序列的相干目标分析方法研究地面沉降的形变规律.基于传统差分合成孔径雷达干涉测量方法,相干目标分析是利用时间序列多景影像获取地表稳定反射体——高相干点目标的新方法.实验区选择上海市主城区约100km2区域,InSAR的实验数据采用覆盖1992~2000年间的25景ERS-1/2的单视复影像.在无先验沉降场模型的情况下,实验结果显示该实验区的地面沉降场在时间范围上跨越8年,平均观测时间采样率约为4个月,垂直形变精度优于5mm,满足我国对城市地面沉降形变观测的要求.研究结果表明该方法可以用于今后大时间/空间尺度上的高精度地表形变观测.

 
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