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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorRocca, F-
dc.creatorLi, D-
dc.creatorTebaldini, S-
dc.creatorLiao, M-
dc.creatorZhang, L-
dc.creatorLombardini, F-
dc.creatorBalz, T-
dc.creatorHaala, N-
dc.creatorDing, X-
dc.creatorHanssen, R-
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2021 by the authors.Licensee MDPI, Basel, Switzerland.This article is an open access articledistributed under the terms andconditions of the Creative CommonsAttribution (CC BY) license (
dc.rightsThe following publication Rocca, F.; Li, D.; Tebaldini,S.; Liao, M.; Zhang, L.; Lombardini, F.;Balz, T.; Haala, N.; Ding, X.; Hanssen,R. Three- and Four-DimensionalTopographic Measurement andValidation. Remote Sens. 2021, 13,2861 is available at
dc.subject3D imagingen_US
dc.subjectSynthetic Aperture Radaren_US
dc.subjectSynthetic Aperture Radar Interferometryen_US
dc.subjectSynthetic Aperture Radar Tomographyen_US
dc.subjectTemporal decorrelationen_US
dc.titleThree‐ and four‐dimensional topographic measurement and validationen_US
dc.typeJournal/Magazine Articleen_US
dcterms.abstractThis paper reports on the activities carried out in the context of “Dragon project 32278: Three‐ and Four‐Dimensional Topographic Measurement and Validation”. The research work was split into three subprojects and encompassed several activities to deliver accurate characterization of targets on land surfaces and deepen the current knowledge on the exploitation of Synthetic Aperture Radar (SAR) data. The goal of Subproject 1 was to validate topographic mapping accuracy of various ESA, TPM, and Chinese satellite system on test sites in the EU and China; define and im-prove validation methodologies for topographic mapping; and develop and setup test sites for the validation of different surface motion estimation techniques. Subproject 2 focused on the specific case of spatially and temporally decorrelating targets by using multi‐baseline interferometric (In‐ SAR) and tomographic (TomoSAR) SAR processing. Research on InSAR led to the development of robust retrieval techniques to estimate target displacement over time. Research on TomoSAR was focused on testing or defining new processing methods for high‐resolution 3D imaging of the inte-rior of forests and glaciers and the characterization of their temporal behavior. Subproject 3 was focused on near‐real‐time motion estimation, considering efficient algorithms for the digestion of new acquisitions and for changes in problem parameterization.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationRemote sensing, Aug. 2021, v. 13, no. 15, 2861-
dcterms.isPartOfRemote sensing-
dc.description.validate202202 bcvc-
dc.description.oaVersion of Recorden_US
dc.description.fundingTextThis research was partly funded by the European Space Agency under Contract No. No. 4000122774/17/I‐NBen_US
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