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Titel:

Sequential Estimator: Toward Efficient InSAR Time Series Analysis

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Ansari, Homa; Zan, Francesco De; Bamler, Richard
Abstract:
Wide-swath Synthetic Aperture Radar (SAR) missions with short revisit times, such as Sentinel-1 and the planned NISAR and Tandem-L, provide an unprecedented wealth of Interferometric SAR (InSAR) time series. The processing of the emerging Big-Data is however challenging for the state-of-the-art InSAR analysis techniques. This contribution introduces a novel approach, named Sequential Estimator, for efficient estimation of the interferometric phase from long InSAR time series. The algorithm uses...     »
Stichworte:
Big-Data, Coherence Bias, Data Compression, Distributed Scatterers, Differential Interferometric Synthetic Aperture Radar (DInASR), Low-Rank Approximation, Maximum-Likelihood Estimation, Error Analysis, peer_review
Zeitschriftentitel:
IEEE Transactions on Geoscience and Remote Sensing
Jahr:
2017
Band / Volume:
55
Heft / Issue:
10
Seitenangaben Beitrag:
5637--5652
Volltext / DOI:
doi:10.1109/TGRS.2017.2711037
Verlag / Institution:
IEEE Xplore
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