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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >SBAS-Based Satellite Orbit Correction for the Generation of DInSAR Time-Series: Application to RADARSAT-1 Data
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SBAS-Based Satellite Orbit Correction for the Generation of DInSAR Time-Series: Application to RADARSAT-1 Data

机译:基于SBAS的DInSAR时间序列生成的卫星轨道校正:在RADARSAT-1数据中的应用

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We present an algorithm aimed at correcting satellite orbit information for the generation of differential SAR interferometry (DInSAR) deformation time-series. Our approach exploits small baseline differential interferograms, to preserve their spatial coherence, and is directly compatible with the Small BAseline Subset (SBAS) DInSAR technique. In particular, the algorithm investigates the differential phase gradient directly computed from the wrapped interferograms, and is focused on the estimation of the perpendicular baseline and of the parallel baseline azimuth rate components, separately performed along the range and azimuth directions, respectively. Starting from the estimations carried out on the interferograms, we then retrieve the orbit correction associated with each SAR acquisition of our time-series by solving a system of linear equations via the SVD method, extending the SBAS inversion concept also to the orbit estimation problem. Key application of this technique is the generation of deformation time-series from interferometric sequences of RADARSAT-1 SAR acquisitions which are available for several areas in the world, but are characterized by significantly low accuracy of the or bit information. The presented results, obtained by processing a data set consisting of 33 RADARSAT-1 images of Big Island at Hawaii, show that we may retrieve DInSAR time-series with sub centimeter accuracy, thus confirming the effectiveness of the pro posed technique.
机译:我们提出了一种旨在校正卫星轨道信息以生成差分SAR干涉测量法(DInSAR)变形时间序列的算法。我们的方法利用小型基线差分干涉图来保持其空间相干性,并且与小型BAseline子集(SBAS)DInSAR技术直接兼容。特别地,该算法研究了直接从包裹的干涉图计算出的差分相位梯度,并且侧重于分别沿范围和方位方向分别执行的垂直基线和平行基线方位角速率分量的估计。从对干涉图进行估计开始,然后通过SVD方法求解线性方程组,将SBAS反演概念也扩展到轨道估计问题,然后检索与时间序列的每个SAR采集相关的轨道校正。该技术的关键应用是根据可在全球多个地区使用的RADARSAT-1 SAR采集的干涉序列生成变形时间序列,但其特征是比特信息的准确性极低。通过处理由夏威夷大岛的33张RADARSAT-1图像组成的数据集获得的结果表明,我们可以以不到厘米的精度检索DInSAR时间序列,从而证实了所提出技术的有效性。

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