Efficient ground surface displacement monitoring using Sentinel-1 data: Integrating distributed scatterers (DS) identified using two-sample t-test with persistent scatterers (PS)

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dc.identifier.uri http://dx.doi.org/10.15488/3470
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/3500
dc.contributor.author Shamshiri, Roghayeh
dc.contributor.author Nahavandchi, Hossein
dc.contributor.author Motagh, Mahdi
dc.contributor.author Hooper, Andy
dc.date.accessioned 2018-06-13T13:18:48Z
dc.date.available 2018-06-13T13:18:48Z
dc.date.issued 2018
dc.identifier.citation Shamshiri, R.; Nahavandchi, H.; Motagh, M.; Hooper, A.: Efficient ground surface displacement monitoring using Sentinel-1 data: Integrating distributed scatterers (DS) identified using two-sample t-test with persistent scatterers (PS). In: Remote Sensing 10 (2018), Nr. 5, 794. DOI: https://doi.org/10.3390/rs10050794
dc.description.abstract Combining persistent scatterers (PS) and distributed scatterers (DS) is important for effective displacement monitoring using time-series of SAR data. However, for large stacks of synthetic aperture radar (SAR) data, the DS analysis using existing algorithms becomes a time-consuming process. Moreover, the whole procedure of DS selection should be repeated as soon as a new SAR acquisition is made, which is challenging considering the short repeat-observation of missions such as Sentinel-1. SqueeSAR is an approach for extracting signals from DS, which first applies a spatiotemporal filter on images and optimizes DS, then incorporates information from both optimized DS and PS points into interferometric SAR (InSAR) time-series analysis. In this study, we followed SqueeSAR and implemented a new approach for DS analysis using two-sample t-test to efficiently identify neighboring pixels with similar behaviour. We evaluated the performance of our approach on 50 Sentinel-1 images acquired over Trondheim in Norway between January 2015 and December 2016. A cross check on the number of the identified neighboring pixels using the Kolmogorov-Smirnov (KS) test, which is employed in the SqueeSAR approach, and the t-test shows that their results are strongly correlated. However, in comparison to KS-test, the t-test is less computationally intensive (98% faster). Moreover, the results obtained by applying the tests under different SAR stack sizes from 40 to 10 show that the t-test is less sensitive to the number of images. © 2018 by the authors. eng
dc.language.iso eng
dc.publisher Basel : MDPI AG
dc.relation.ispartofseries Remote Sensing 10 (2018), Nr. 5
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject Distributed scatterer eng
dc.subject Persistent scatterer eng
dc.subject Sentinel-1 eng
dc.subject SqueeSAR eng
dc.subject StaMPS/MTI eng
dc.subject T-test eng
dc.subject Indium compounds eng
dc.subject Pixels eng
dc.subject Signal processing eng
dc.subject Testing eng
dc.subject Time series analysis eng
dc.subject Distributed scatterers eng
dc.subject Persistent scatterers eng
dc.subject Sentinel-1 eng
dc.subject SqueeSAR eng
dc.subject T-tests eng
dc.subject Synthetic aperture radar eng
dc.subject.ddc 620 | Ingenieurwissenschaften und Maschinenbau ger
dc.title Efficient ground surface displacement monitoring using Sentinel-1 data: Integrating distributed scatterers (DS) identified using two-sample t-test with persistent scatterers (PS)
dc.type article
dc.type Text
dc.relation.issn 2072-4292
dc.relation.doi https://doi.org/10.3390/rs10050794
dc.bibliographicCitation.issue 5
dc.bibliographicCitation.volume 10
dc.bibliographicCitation.firstPage 794
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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