XXII ISPRS Congress 2012: Technical Commission VII

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VII/2: SAR INTERFEROMETRY]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: TOMOGRAPHIC SAR INVERSION FROM MIXED REPEAT- AND SINGLE-PASS DATA STACKS - THE TERRASAR-X/TANDEM-X CASE Xiao Xiang Zhu, Richard Bamler

Document type:: Multivolume work

Structure type:: Chapter

resolution for the sparse reconstruction based SLIMMER algorithm while using TDX data stack. As multiple scatterers inside one resolution cell most likely occur in high rise urban areas, the situation that two scatterers inside one resolution cell (one from the building facade and another from the ground) is simulated as an another example to evaluate the performance of the spectral estimation methods. The building is assumed to have an elevation of 80 m where ground is at zero elevation. Fig.7 shows the estimated elevation values of the two scatterers with MAP (left), NLS (middle) and SLIMMER in TSX (upper) and TDX (lower) cases. The x-axis refers to the true elevation of scatterers on the building facade. The y-axis shows their estimated elevations. The ideal image would be two straight lines (one horizontal and another one diagonal). The better estimation accuracy shown in the lower plots confirms the fact that reconstruction accuracy of tomographic SAR inversion can be improved significantly by using jointly fused TerraSAR-X and TanDEM-X data. 5. CONCLUSION & OUTLOOK This paper presents the first demonstration of high precision very high resolution tomographic SAR inversion with the assistance of TanDEM-X data. The data quality of TerraSAR-X and TanDEM-X is investigated. TomoSAR algorithms such as SVD-Wiener, Nonlinear Least Squares and SLIMMER are extended for mixed repeat- and single-pass data stacks. A systematic approach is proposed for the fusion of TerraSAR-X and TanDEM-X data in which the different data quality provided by the TerraSAR-X and TanDEM-X data are taken into account by introducing a weighting according to the noise covariance matrix. The proposed approach is evaluated with simulated data. The simulation result shows that the reconstruction accuracy of tomographic SAR inversion can be improved significantly by using jointly fused TerraSAR-X and TanDEM-X data. Future work will concentrate on real data demonstration: the system approach for measurement noise matrix estimation of Figure.1. 3- International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia mixed TerraSAR-X/TanDEM-X data stacks will be investigated; real data processing examples of mixed TerraSAR-X/TanDEM-X data stacks will be presented, the estimation accuracy increment will be quantitatively studied. REFERENCE Deledalle C., Denis L., & Tupin F., *NL-InSAR: Nonlocal interferogram estimation", IEEE TGRS 49 (4), pp.1441-1452, 2011. Fornaro G., Reale D., and Serafino F., “Four-dimensional SAR imaging for height estimation and monitoring of single and double scatterers," IEEE TGRS 47 (1), pp. 224—237, 2009. Lombardini F., Differential Tomography: A New Framework for SAR Interferometry, in Proc. IGARSS, pp.1206—1208,2003. Zhu X. and Bamler R., *Very high resolution spaceborne SAR tomography in urban environment,” IEEE Trans. Geosci. Remote Sens., vol. 48, no. 12, pp. 4296-4308, Dec. 2010. Zhu X. and Bamler R., *Demonstration of Super-Resolution for Tomographic SAR Imaging in Urban Environment," IEEE TGRS, in press. Zhu X. and Bamler R., “Super-resolution power and robustness of compressive sensing for spectral estimation with application to spaceborne tomographic SAR," IEEE TGRS, vol. 50, no. 1, pp. 247—258, 2012. Zhu X., Very High Resolution Tomographic SAR Inversion for Urban Infrastructure Monitoring — A Sparse and Nonlinear Tour.,Deutsche Geodátische Kommission, Reihe C, Nr. 666, Verlag der Bayerischen Akademie der Wissenschaften, ISBN 978-3-7696-5078-5, 2011 Zhu X. and Bamler R., “Let’s do the time warp: Multi- component nonlinear motion estimation in differential SAR tomography,” IEEE GRSL, vol. 8, no. 4, pp. 735-739, 2011. Zhu X. and Bamler R., “Tomographic SAR inversion by L1- norm regularization—The compressive sensing approach,” IEEE TGRS vol. 48, no. 10, pp. 3839-3846, 2010. view of the scatterers reconstructed by TomoSAR reconstruction of city blocks in downtown Las Vegas, using a stack of 30 images acquired by TerraSAR-X. Height is color-coded.

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