Joint Sparsity in SAR Tomography for Urban Mapping

IEEE Journal on Selected Topics in Signal Processing

Volumn 9, Issue 8, 2015, Pages 1498-1509

  Zhu, Xiao Xiang ^a,b   Ge, Nan ^a   Shahzad, Muhammad ^b  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Compressive sensing; GIS; joint sparsity; SAR tomography; synthetic aperture radar; TanDEM X

Indexed keywords

COMPRESSED SENSING; GEOGRAPHIC INFORMATION SYSTEMS; INTERFEROMETRY; RADAR; RADAR IMAGING; SPACE-BASED RADAR; TOMOGRAPHY;

BUILDING FOOTPRINT; COMPRESSIVE SENSING; INTERFEROMETRIC TECHNIQUES; JOINT SPARSITY; PERSISTENT SCATTERER INTERFEROMETRY (PSI); SAR TOMOGRAPHY (SARTOM); TANDEM-X; TOMOGRAPHIC RECONSTRUCTION;

SYNTHETIC APERTURE RADAR;

EID: 84970024752     PISSN: 19324553     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSTSP.2015.2469646     Document Type: Article

References (40)

1. S. Gernhardt, N. Adam, M. Eineder, and R. Bamler, "Potential of very high resolution SAR for persistent scatterer interferometry in urban areas," Ann. GIS, vol. 16, no. 2010-06, pp. 103-111, 2010.
2. X. X. Zhu and R. Bamler, "Very high resolution spaceborne SAR tomography in urban environment," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 12, pp. 4296-4308, Dec. 2010.
3. D. Reale, G. Fornaro, A. Pauciullo, X. Zhu, and R. Bamler, "Tomographic imaging and monitoring of buildings with very high resolution SAR data," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 4, pp. 661-665, Jul. 2011.
4. G. Fornaro, A. Pauciullo, D. Reale, X. Zhu, and R. Bamler, "SAR tomography: An advanced tool for 4d spaceborne radar scanning with application to imaging and monitoring of cities and single buildings," IEEE Geosci. Remote Sens. Newslett., pp. 10-18, 2012.
5. Y. Wang, X. X. Zhu, Y. Shi, and R. Bamler, "Operational TomoSAR processing using TerraSAR-X high resolution spotlight stacks from multiple view angles," in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), 2012, pp. 7047-7050.
6. X. X. Zhu and M. Shahzad, "Facade reconstruction using multiview spaceborne tomoSAR point clouds," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 6, pp. 3541-3552, Jun. 2014.
7. G. Fornaro, F. Lombardini, A. Pauciullo, D. Reale, and F. Viviani, "Tomographic processing of interferometric SAR data: Developments, applications, and future research perspectives," IEEE Signal Process. Mag., vol. 31, no. 4, pp. 41-50, Jul. 2014.
8. X. X. Zhu and R. Bamler, "Tomographic SAR inversion by L1-norm regularization: The compressive sensing approach," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 10, pp. 3839-3846, Oct. 2010.
9. A. Budillon, A. Evangelista, and G. Schirinzi, "Three-dimensional SAR focusing from multipass signals using compressive sampling," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 1, pp. 488-499, Jan. 2011.
10. X. X. Zhu and R. Bamler, "Super-resolution power and robustness of compressive sensing for spectral estimation with application to spaceborne tomographic SAR," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 1, pp. 247-258, Jan. 2012.
11. X. X. Zhu and R. Bamler, "Demonstration of super-resolution for tomographic SAR imaging in urban environment," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 8, pp. 3150-3157, Aug. 2012.
12. X. X. Zhu and R. Bamler, "Superresolving SAR tomography for multidimensional imaging of urban areas: Compressive sensing-based tomoSAR inversion," IEEE Signal Process. Mag., vol. 31, no. 4, pp. 51-58, Jul. 2014.
13. A. Ferretti, C. Prati, and F. Rocca, "Analysis of permanent scatterers in SAR interferometry," in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), 2000, vol. 2, pp. 761-763.
14. B. M. Kampes, Radar Interferometry: Persistent Scatterer Technique. New York, NY, USA: Springer Science & Business Media, 2006.
15. N. Adam, B. Kampes, M. Eineder, J. Worawattanamateekul, and M. Kircher, "The development of a scientific permanent scatterer system," in Proc. ISPRS Workshop High Resolut. Map. Space, Hannover, Germany, 2003.
16. G. Fornaro, F. Lombardini, and F. Serafino, "Three-dimensional multipass SAR focusing: Experiments with long-term spaceborne data," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 4, pp. 702-714, Apr. 2005.
17. F. Lombardini, "Differential tomography: A new framework for SAR interferometry," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 1, pp. 37-44, Jan. 2005.
18. A. Ferretti, A. Fumagalli, F. Novali, C. Prati, F. Rocca, and A. Rucci, "A new algorithm for processing interferometric data-stacks: Squeesar," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 9, pp. 3460-3470, Sep. 2011.
19. Y. Wang, X. X. Zhu, and R. Bamler, "Retrieval of phase history parameters from distributed scatterers in urban areas using very high resolution SAR data," ISPRS J. Photogram. Remote Sens., vol. 73, pp. 89-99, 2012.
20. M. Schmitt and U. Stilla, "Adaptive multilooking of airborne singlepass multi-baseline InSAR stacks," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 1, pp. 305-312, Jan. 2014.
21. R. Guo and X. X. Zhu, "High-rise building feature extraction using high resolution spotlight TanDEM-X data," in Proc. 10th Eur. Conf. Synthetic Aperture Radar (EUSAR), Jun. 2014, pp. 1-4.
22. Stats-OpenStreetMap Wiki [Online]. Available: http://wiki.openstreetmap.org/wiki/Statistics
23. H. Fan, A. Zipf, Q. Fu, and P. Neis, "Quality assessment for building footprints data on OpenStreetMap," Int. J. Geogr. Inf. Sci., vol. 28, no. 4, pp. 700-719, Apr. 2014.
24. M. Haklay, "How good is Volunteered geographical information? A comparative study of OpenStreetMap and ordnance survey datasets," Environ. Planning B: Planning Design, vol. 37, no. 4, pp. 682-703, 2010.
25. M. Helbich, C. Amelunxen, and P. Neis, "Comparative spatial analysis of positional accuracy of OpenStreetMap and proprietary geodata," in Proc. AGILE'11, Heidelberg, Germany, 2011, p. 69120, GIScience, Dept. of Geography, Univ. of Heidelberg.
26. P. Mooney, P. Corcoran, and A. C. Winstanley, "Towards quality metrics for OpenStreetMap," in Proc. 18th SIGSPATIAL Int. Conf. Adv. Geographic Inf. Syst. Ser. (GIS '10 ACM), New York, NY, USA, 2010, pp. 514-517.
27. C. K. Robert Hecht, "Measuring completeness of building footprints in OpenStreetMap over space and time," ISPRS Int. J. Geo-Inf., vol. 2, pp. 1066-1091, 2013.
28. A. Reigber and A. Moreira, "First demonstration of airborne SAR tomography using multibaseline L-band data," IEEE Trans. Geosci. Remote Sens., vol. 38, no. 5, pp. 2142-2152, Sep. 2000.
29. G. Fornaro, F. Serafino, and F. Soldovieri, "Three-dimensional focusing with multipass SAR data," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 3, pp. 507-517, Mar. 2003.
30. G. Fornaro, D. Reale, and F. Serafino, "Four-dimensional SAR imaging for height estimation and monitoring of single and double scatterers," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 1, pp. 224-237, Jan. 2009.
31. X. X. Zhu and R. Bamler, "Let's do the time warp: Multicomponent nonlinear motion estimation in differential SAR tomography," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 4, pp. 735-739, Jul. 2011.
32. X. X. Zhu, "Very high resolution tomographic SAR inversion for urban infrastructure monitoring-A sparse and nonlinear tour," Ph.D. dissertation, Technische Univ. München, Munich, Germany, 2011.
33. K. P. Burnham and D. R. Anderson, Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach, 2nd ed. New York, NY, USA: Springer, 2003.
34. D. Malioutov, M. Cetin, and A. Willsky, "A sparse signal reconstruction perspective for source localization with sensor arrays," IEEE Trans. Signal Process., vol. 53, no. 8, pp. 3010-3022, Aug. 2005.
35. Y. Eldar and H. Rauhut, "Average case analysis of multichannel sparse recovery using convex relaxation," IEEE Trans. Inf. Theory, vol. 56, no. 1, pp. 505-519, Jan. 2010.
36. E. Aguilera, M. Nannini, and A. Reigber, "Multi-signal compressed sensing for polarimetric SAR tomography," in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Jul. 2011, pp. 1369-1372.
37. M. Schmitt and U. Stilla, "Compressive sensing based layover separation in airborne single-pass multi-baseline inSAR data," IEEE Geosci. Remote Sens. Lett., vol. 10, no. 2, pp. 313-317, Mar. 2013.
38. R. Bamler, M. Eineder, N. Adam, X. Zhu, and S. Gernhardt, "Interferometric potential of high resolution spaceborne SAR," Photogrammetrie-Fernerkundung-Geoinformation, vol. 2009, no. 5, pp. 407-419, Nov. 2009.
39. N. Adam, R. Bamler, M. Eineder, and B. Kampes, "Parametric estimation and model selection based on amplitude-only data in ps-interferometry," in Proc. ESA FRINGE Workshop, 2005.
40. M. Shahzad and X. X. Zhu, "Robust reconstruction of building facades for large areas using spaceborne TomoSAR point clouds," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 2, pp. 752-769, Feb. 2015.