FaSHPS-InSAR technique for distributed scatterers: A case study over the lost hills oil field, California

Mi Jiang; Xiaoli Ding; Xiu Feng He; Zhi Wei Li; Guo Qiang Shi

doi:10.6038/cjg20161007

FaSHPS-InSAR technique for distributed scatterers: A case study over the lost hills oil field, California

Mi Jiang, Xiaoli Ding, Xiu Feng He, Zhi Wei Li, Guo Qiang Shi

Research output: Journal article publication › Journal article › Academic research › peer-review

37 Citations (Scopus)

Abstract

All right reserved. Multitemporal Synthetic Aperture Radar Interferometry (MT-InSAR) technique for the distributed scatterers (DSs) has been widely developed since 2010. The main limitations of this technique in the current state are high computing burden and the difficulty to define DSs with a suitable threshold. In this paper, we present a novel framework of data processing of radar interferometry for DSs. Compared with the state-of-the-art, the significant advantage of the new method is its low computing burden with high self-adaptability, and improved DSs density without loss of resolution. Besides, the DS candidates are selected according to the statistics of spatial sample coherence magnitude rather than the empirical threshold. The real SAR dataset over Lost Hillsoil field, California, is used to demonstrate the value of our method.

Original language	English
Pages (from-to)	3592-3603
Number of pages	12
Journal	Acta Geophysica Sinica
Volume	59
Issue number	10
DOIs	https://doi.org/10.6038/cjg20161007
Publication status	Published - 1 Oct 2016

Keywords

Distributed scatterer
Fast homogeneous statistically pixels selection
Interferometric synthetic aperture radar (InSAR)
Time series

ASJC Scopus subject areas

Geophysics
Geochemistry and Petrology

More information

10.6038/cjg20161007

Cite this

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title = "FaSHPS-InSAR technique for distributed scatterers: A case study over the lost hills oil field, California",

abstract = "All right reserved. Multitemporal Synthetic Aperture Radar Interferometry (MT-InSAR) technique for the distributed scatterers (DSs) has been widely developed since 2010. The main limitations of this technique in the current state are high computing burden and the difficulty to define DSs with a suitable threshold. In this paper, we present a novel framework of data processing of radar interferometry for DSs. Compared with the state-of-the-art, the significant advantage of the new method is its low computing burden with high self-adaptability, and improved DSs density without loss of resolution. Besides, the DS candidates are selected according to the statistics of spatial sample coherence magnitude rather than the empirical threshold. The real SAR dataset over Lost Hillsoil field, California, is used to demonstrate the value of our method.",

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AU - Shi, Guo Qiang

PY - 2016/10/1

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FaSHPS-InSAR technique for distributed scatterers: A case study over the lost hills oil field, California

Abstract

Keywords

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