Hybrid approach for unbiased coherence estimation for multitemporal InSAR

Mi Jiang, Xiaoli Ding, Zhiwei Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

39 Citations (Scopus)

Abstract

The coherence of radar echoes is a fundamental observable in interferometric synthetic aperture radar (InSAR) measurements. It provides a quantitative measure of the scattering properties of imaged surfaces and therefore is widely applied to study the physical processes of the Earth. However, unfortunately, the estimated coherence values are often biased due to various reasons such as radar signal nonstationarity and the bias in the estimators used. In this paper, we focus on multitemporal InSAR coherence estimation and present a hybrid approach that mitigates effectively the errors in the estimation. The proposed approach is almost completely self-adaptive and workable for both Gaussian and non-Gaussian SAR scenes. Moreover, the bias of the sample coherence can be mitigated with even only several samples included for a given pixel. Therefore, it is a more pragmatic method for accurate coherence estimation and can be applied actually. Different data sets are used to test the proposed method and demonstrate its advantages.
Original languageEnglish
Article number6557041
Pages (from-to)2459-2473
Number of pages15
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume52
Issue number5
DOIs
Publication statusPublished - 1 Jan 2014

Keywords

  • Adaptive hypothesis test
  • bootstrap
  • coherence estimation
  • fringe rate estimation
  • interferometric synthetic aperture radar (InSAR)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)

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