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Project Report

Three- and Four-Dimensional Topographic Measurement and Validation

1
Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, Italy
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State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University (LIESMARS), Wuhan 430072, China
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Department of Information Engineering, University of Pisa, via Caruso 16, 56122 Pisa, Italy
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Institute for Photogrammetry, University of Stuttgart, Geschwister-Scholl-Strasse 24, 70174 Stuttgart, Germany
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Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China
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Department of Geoscience and Remote Sensing, Delft University of Technology, 2628CN Delft, The Netherlands
*
Author to whom correspondence should be addressed.
Academic Editor: John Trinder
Remote Sens. 2021, 13(15), 2861; https://0-doi-org.brum.beds.ac.uk/10.3390/rs13152861
Received: 14 May 2021 / Revised: 2 July 2021 / Accepted: 7 July 2021 / Published: 21 July 2021
(This article belongs to the Special Issue ESA - NRSCC Cooperation Dragon 4 Final Results)
This 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 improve 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 (InSAR) 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 interior 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. View Full-Text
Keywords: Synthetic Aperture Radar; Synthetic Aperture Radar Interferometry; Synthetic Aperture Radar Tomography; 3D imaging; temporal decorrelation; deformation; validation Synthetic Aperture Radar; Synthetic Aperture Radar Interferometry; Synthetic Aperture Radar Tomography; 3D imaging; temporal decorrelation; deformation; validation
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MDPI and ACS Style

Rocca, F.; Li, D.; Tebaldini, S.; Liao, M.; Zhang, L.; Lombardini, F.; Balz, T.; Haala, N.; Ding, X.; Hanssen, R. Three- and Four-Dimensional Topographic Measurement and Validation. Remote Sens. 2021, 13, 2861. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13152861

AMA Style

Rocca F, Li D, Tebaldini S, Liao M, Zhang L, Lombardini F, Balz T, Haala N, Ding X, Hanssen R. Three- and Four-Dimensional Topographic Measurement and Validation. Remote Sensing. 2021; 13(15):2861. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13152861

Chicago/Turabian Style

Rocca, Fabio, Deren Li, Stefano Tebaldini, Mingsheng Liao, Lu Zhang, Fabrizio Lombardini, Timo Balz, Norbert Haala, Xiaoli Ding, and Ramon Hanssen. 2021. "Three- and Four-Dimensional Topographic Measurement and Validation" Remote Sensing 13, no. 15: 2861. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13152861

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