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InSAR Deformation Analysis with Distributed Scatterers: A Review Complemented by New Advances

Even, Markus; Schulz, Karsten


Interferometric Synthetic Aperture Radar (InSAR) is a powerful remote sensing technique able to measure deformation of the earth’s surface over large areas. InSAR deformation analysis uses two main categories of backscatter: Persistent Scatterers (PS) and Distributed Scatterers (DS). While PS are characterized by a high signal-to-noise ratio and predominantly occur as single pixels, DS possess a medium or low signal-to-noise ratio and can only be exploited if they form homogeneous groups of pixels that are large enough to allow for statistical analysis. Although DS have been used by InSAR since its beginnings for different purposes, new methods developed during the last decade have advanced the field significantly. Preprocessing of DS with spatio-temporal filtering allows today the use of DS in PS algorithms as if they were PS, thereby enlarging spatial coverage and stabilizing algorithms. This review explores the relations between different lines of research and discusses open questions regarding DS preprocessing for deformation analysis. The review is complemented with an experiment that demonstrates that significantly improved results can be achieved for preprocessed DS during parameter estimation if their statistical properties are used.

Verlagsausgabe §
DOI: 10.5445/IR/1000088755
Veröffentlicht am 19.12.2018
DOI: 10.3390/rs10050744
Zitationen: 70
Zitationen: 69
Cover der Publikation
Zugehörige Institution(en) am KIT Geodätisches Institut (GIK)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2018
Sprache Englisch
Identifikator ISSN: 2072-4292
KITopen-ID: 1000088755
Erschienen in Remote sensing
Verlag MDPI
Band 10
Heft 5
Seiten 744
Vorab online veröffentlicht am 13.05.2018
Schlagwörter InSAR; Persistent Scatterer; Distributed Scatterer; preprocessing; adaptive neighborhood; covariance; coherence; deformation
Nachgewiesen in Web of Science
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