Three‐ and four‐dimensional topographic measurement and validation

Rocca, Fabio; Li, Deren; Tebaldini, Stefano; Liao, Mingsheng; Zhang, Lu; Lombardini, Fabrizio; Balz, Timo; Haala, Norbert; Ding, Xiaoli; Hanssen, R.F.

doi:10.3390/rs13152861

Three‐ and four‐dimensional topographic measurement and validation

Title

Three‐ and four‐dimensional topographic measurement and validation

Author

Rocca, Fabio (Politecnico di Milano)
Li, Deren (Wuhan University)
Tebaldini, Stefano (Politecnico di Milano)
Liao, Mingsheng (Wuhan University)
Zhang, Lu (Wuhan University)
Lombardini, Fabrizio (University of Pisa)
Balz, Timo (Wuhan University)
Haala, Norbert (University of Stuttgart)
Ding, Xiaoli (The Hong Kong Polytechnic University)
Hanssen, R.F. (TU Delft Mathematical Geodesy and Positioning)

Date

2021

Abstract

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 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.

Subject

3D imaging
Deformation
Synthetic Aperture Radar
Synthetic Aperture Radar Interferometry
Synthetic Aperture Radar Tomography
Temporal decorrelation
Validation

To reference this document use:

http://resolver.tudelft.nl/uuid:d0e5d15c-36b4-4215-b967-c4bc9be5d926

DOI

https://doi.org/10.3390/rs13152861

ISSN

2072-4292

Source

Remote Sensing, 13 (15)

Part of collection

Institutional Repository