Advanced methods for time-series InSAR

Dinh Ho Tong Minh*, Ramon Hanssen, Marie Pierre Doin, Erwan Pathier

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

5 Citations (Scopus)

Abstract

While many time-series interferometric synthetic aperture radar (InSAR) methods have been developed in the last 20 years, most of them share similar characteristics so that they can be categorized into two types of techniques based on how they account for signal decorrelations. The first category of techniques is based on distributed scatterers (DSs) for deformation monitoring. A common way of reducing signal decorrelations is to select interferograms with short spatial and temporal baselines (small baseline (SB) techniques). The second approach is permanent/persistent scatterer (PS) InSAR techniques, which use individual scatterers that dominate the signal from within a resolution cell to track deformation through time. A recent advanced technique allows us to combine both PSs and DSs to overcome the sparsity of identified points for estimation (the persistent scatterer–distributed scatterer (PSDS) technique). This chapter describes the two main families of time-series InSAR techniques (SB and PSDS).
Original languageEnglish
Title of host publicationSurface Displacement Measurement from Remote Sensing Images
EditorsOlivier Cavalie, Emmanuel Trouve
PublisherWiley
Chapter5
Pages125-154
Number of pages29
ISBN (Electronic)9781119986843
ISBN (Print)9781789450835
DOIs
Publication statusPublished - 2022

Fingerprint

Dive into the research topics of 'Advanced methods for time-series InSAR'. Together they form a unique fingerprint.

Cite this