{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T05:14:38Z","timestamp":1776489278652,"version":"3.51.2"},"reference-count":128,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2018,5,13]],"date-time":"2018-05-13T00:00:00Z","timestamp":1526169600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Interferometric Synthetic Aperture Radar (InSAR) is a powerful remote sensing technique able to measure deformation of the earth\u2019s 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.<\/jats:p>","DOI":"10.3390\/rs10050744","type":"journal-article","created":{"date-parts":[[2018,5,14]],"date-time":"2018-05-14T02:57:20Z","timestamp":1526266640000},"page":"744","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":92,"title":["InSAR Deformation Analysis with Distributed Scatterers: A Review Complemented by New Advances"],"prefix":"10.3390","volume":"10","author":[{"given":"Markus","family":"Even","sequence":"first","affiliation":[{"name":"Fraunhofer IOSB, Gutleuthausstr. 1, 76275 Ettlingen, Germany"}]},{"given":"Karsten","family":"Schulz","sequence":"additional","affiliation":[{"name":"Fraunhofer IOSB, Gutleuthausstr. 1, 76275 Ettlingen, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2018,5,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1088\/0266-5611\/14\/4\/001","article-title":"Synthetic Aperture Radar Interferometry","volume":"14","author":"Bamler","year":"1998","journal-title":"Inverse Probl."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1029\/97RG03139","article-title":"Radar interferometry and its application to changes in the Earth\u2019s surface","volume":"36","author":"Massonnet","year":"1998","journal-title":"Rev. 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