时序InSAR同质样本选取算法研究

Translated title of the contribution: Homogeneous pixel selection algorithm for multitemporal InSAR

Mi Jiang, Xiaoli Ding, Zhiwei Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Synthetic Aperture Radar Interferometry (InSAR) technique for distributed scatterers has become one of the current flavors. Inaccurate estimation of the covariance matrix is regarded as the most important source of error in such applications. The previous studies, named statistically homogeneous pixel selection algorithms, have demonstrated their values to refine the estimate accuracy for each target without loss of image resolution. In this paper, we review these methods globally under parametric and non-parametric statistical framework. The updated one will then be presented by integrating the advantages of the parametric statistics, and evaluated through synthetic and real data. Based on these algorithms, we finally introduce our SHPS-InSAR open-source toolbox, designed for homogeneous pixel selection and covariance matrix estimation. The toolbox includes almost all methods presented in this paper and tries to provide the optimal observable for the researchers in the field.

Translated title of the contributionHomogeneous pixel selection algorithm for multitemporal InSAR
Original languageChinese
Pages (from-to)4767-4776
Number of pages10
JournalActa Geophysica Sinica
Volume61
Issue number12
DOIs
Publication statusPublished - 1 Dec 2018

Keywords

  • Covariance matrix estimation
  • Distributed targets
  • Homogeneous pixel selection
  • Multi-temporal InSAR
  • Open-source toolbox

ASJC Scopus subject areas

  • Geophysics
  • Geochemistry and Petrology

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