Vol. 5
Latest Volume
All Volumes
PIERM 126 [2024] PIERM 125 [2024] PIERM 124 [2024] PIERM 123 [2024] PIERM 122 [2023] PIERM 121 [2023] PIERM 120 [2023] PIERM 119 [2023] PIERM 118 [2023] PIERM 117 [2023] PIERM 116 [2023] PIERM 115 [2023] PIERM 114 [2022] PIERM 113 [2022] PIERM 112 [2022] PIERM 111 [2022] PIERM 110 [2022] PIERM 109 [2022] PIERM 108 [2022] PIERM 107 [2022] PIERM 106 [2021] PIERM 105 [2021] PIERM 104 [2021] PIERM 103 [2021] PIERM 102 [2021] PIERM 101 [2021] PIERM 100 [2021] PIERM 99 [2021] PIERM 98 [2020] PIERM 97 [2020] PIERM 96 [2020] PIERM 95 [2020] PIERM 94 [2020] PIERM 93 [2020] PIERM 92 [2020] PIERM 91 [2020] PIERM 90 [2020] PIERM 89 [2020] PIERM 88 [2020] PIERM 87 [2019] PIERM 86 [2019] PIERM 85 [2019] PIERM 84 [2019] PIERM 83 [2019] PIERM 82 [2019] PIERM 81 [2019] PIERM 80 [2019] PIERM 79 [2019] PIERM 78 [2019] PIERM 77 [2019] PIERM 76 [2018] PIERM 75 [2018] PIERM 74 [2018] PIERM 73 [2018] PIERM 72 [2018] PIERM 71 [2018] PIERM 70 [2018] PIERM 69 [2018] PIERM 68 [2018] PIERM 67 [2018] PIERM 66 [2018] PIERM 65 [2018] PIERM 64 [2018] PIERM 63 [2018] PIERM 62 [2017] PIERM 61 [2017] PIERM 60 [2017] PIERM 59 [2017] PIERM 58 [2017] PIERM 57 [2017] PIERM 56 [2017] PIERM 55 [2017] PIERM 54 [2017] PIERM 53 [2017] PIERM 52 [2016] PIERM 51 [2016] PIERM 50 [2016] PIERM 49 [2016] PIERM 48 [2016] PIERM 47 [2016] PIERM 46 [2016] PIERM 45 [2016] PIERM 44 [2015] PIERM 43 [2015] PIERM 42 [2015] PIERM 41 [2015] PIERM 40 [2014] PIERM 39 [2014] PIERM 38 [2014] PIERM 37 [2014] PIERM 36 [2014] PIERM 35 [2014] PIERM 34 [2014] PIERM 33 [2013] PIERM 32 [2013] PIERM 31 [2013] PIERM 30 [2013] PIERM 29 [2013] PIERM 28 [2013] PIERM 27 [2012] PIERM 26 [2012] PIERM 25 [2012] PIERM 24 [2012] PIERM 23 [2012] PIERM 22 [2012] PIERM 21 [2011] PIERM 20 [2011] PIERM 19 [2011] PIERM 18 [2011] PIERM 17 [2011] PIERM 16 [2011] PIERM 14 [2010] PIERM 13 [2010] PIERM 12 [2010] PIERM 11 [2010] PIERM 10 [2009] PIERM 9 [2009] PIERM 8 [2009] PIERM 7 [2009] PIERM 6 [2009] PIERM 5 [2008] PIERM 4 [2008] PIERM 3 [2008] PIERM 2 [2008] PIERM 1 [2008]
2008-10-31
Application of Array Processing Techniques in Multibaseline InSAR for High-Resolution Dem Reconstruction
By
Progress In Electromagnetics Research M, Vol. 5, 67-80, 2008
Abstract
This work is concerned with generating the digital elevation models (DEMs) from the SAR images of the region of interest using multiple sensor arrays that are fixed on the distributed satellites. We present an exact estimate of the unwrapped phase and the relationship between the unwrapped phase and the terrain height. The optimum scheme that jointly processes the signals from all sensors is based on the model of the multibaseline joint block vector. The method can simultaneously coregister the SAR images, phase unwrapping and DEM generation in the presence of the large coregistration errors. The performance of our approach is verified by a series of simulation experiments based on the distributed sensor arrays.
Citation
Zhijie Mao, and Guisheng Liao, "Application of Array Processing Techniques in Multibaseline InSAR for High-Resolution Dem Reconstruction," Progress In Electromagnetics Research M, Vol. 5, 67-80, 2008.
doi:10.2528/PIERM08101505
References

1. Pritt, M. D. and J. S. Shipman, "Least-squares two-dimensional phase unwrapping using FFT's," IEEE. Trans. Geosci. Remote Sens., Vol. 32, No. 3, 706-708, 1994.
doi:10.1109/36.297989

2. Xu, W. and I. Cumming, "A region-growing algorithm for InSAR phase unwrapping," IEEE Trans. Geosci. Remote Sens., Vol. 37, No. 1, 124-134, 1999.
doi:10.1109/36.739143

3. Goldstein, M., H. A. Zebker, and C. L. Werner, "Satellite radar interferometry: Two-dimensional phase unwrapping," Radio Science, Vol. 23, 713-720, 1988.
doi:10.1029/RS023i004p00713

4. Ghiglia, D. C. and D. E.Wahl, "Interferometric synthetic aperture radar terrain elevation mapping from multiple observations," Proc. 6th IEEE Digital Signal Process. Workshop, 33-36, Albuquerque, NM, 1994.

5. Martorella, M. and B. Littleton, "Multibaseline cross-track SAR interferometry using interpolated arrays," IEEE Trans. Aerosp. Electron Syst., Vol. 41, No. 4, 1472-1481, 2005.

6. Kim, M. G. and H. D. Griffiths, "Phase unwrapping of multibaseline interferometry using Kalman filtering," Proc. 7th IEE Int. Conf. Image Process. and Appl., 813-817, London, U.K., 1999.

7. Fornaro, G., A. M. Guarnieri, et al. "Maximum likelihood multi-baseline SAR interferometry," Proc. IEE-Radar Sonar Navig., Vol. 153, No. 3, 279-288, 2006.
doi:10.1049/ip-rsn:20045113

8. Ferretti, A., C. Prati, and F. Rocca, "Multibaseline InSAR DEM reconstruction: The wavelet approach," IEEE Trans. Geosci. Remote Sens., Vol. 37, No. 2, 705-715, 1999.
doi:10.1109/36.752187

9. Qu, Y., G. S. Liao, S. Q. Zhu, and X. Y. Liu, "Hybrid array antenna for broadband millimeter-wave applications," Progress In Electromagnetics Research, Vol. 84, 1-10, 2008.
doi:10.2528/PIER08060301

10. Li, W. T. and X. W. Shi, "An improved particle swarm optimization algorithm for pattern synthesis of phased arrays," Progress In Electromagnetics Research, Vol. 82, 319-332, 2008.
doi:10.2528/PIER08030904

11. Zitova, B. and J. Flusser, "Image registration methods: A survey," Image and Vision Computing, Vol. 21, No. 11, 977-1000, 2003.
doi:10.1016/S0262-8856(03)00137-9

12. Brown, L. G., "A survey of image registration techniques," ACM Computing Surveys, 326-376, 1992.

13. Scheiber, R. and A. Moreira, "Coregistration of interferometric SAR images using spectral diversity," IEEE Trans. Geosci. Remote Sens., Vol. 38, No. 5, 2179-2191, 2000.
doi:10.1109/36.868876

14. Moccia, A., S. Esposito, and M. Derrico, "Height measurement accuracy of ERS-1 SAR interferometry," EARSel Adv. Remote Sens., Vol. 3, No. 1, 94-108, 1994.

15. Rosen, P. A., S. Hensley, I. R. Joughin, F. K. Li, S. N. Madsen, E. Rodriguez, and R. M. Goldstein, "Synthetic aperture radar interferometry," Proc. IEEE, Vol. 88, No. 3, 333-382, 2000.
doi:10.1109/5.838084

16. Bamler, R. and P. Hartl, "Synthetic aperture radar interferometry," Inv. Prob., Vol. 14, 1-54, 1998.
doi:10.1088/0266-5611/14/4/001

17. Lorenz, R. G. and S. P. Boyd, "Robust minimum variance beamforming," IEEE Trans. Signal Process., Vol. 53, No. 5, 1684-1696, 2005.
doi:10.1109/TSP.2005.845436

18. Vorobyov, S., A. B. Gershman, et al. "Robust adaptive beamforming using worst-case performance optimization: A solution to the signal mismatch problem," IEEE Trans. Signal Process., Vol. 51, 313-324, 2003.
doi:10.1109/TSP.2002.806865

19. Zhang, X. and D. Xu, "Deterministic blind beamforming for electromagnetic vector sensor array," Progress In Electromagnetics Research, Vol. 84, 363-377, 2008.
doi:10.2528/PIER08080402

20. Panduro, M. A., "Design of beam-forming networks for scannable multi-beam antenna arrays using corps," Progress In Electromagnetics Research, Vol. 84, 173-188, 2008.
doi:10.2528/PIER08070403

21. Gu, Y. J., Z. G. Shi, and K. S. Chen, "Robust adaptive beamforming for a class of gaussian steering vector mismatch," Progress In Electromagnetics Research, Vol. 81, 315-328, 2008.
doi:10.2528/PIER08010202

22. Mao, Z. J., G. S. Liao, et al. "InSAR interferometric phase estimation based on optimum data vector," Proc. IET - Radar Sonar Navig..

23. Mao, Z. J., G. S. Liao, et al. "Optimum data vector approach to multibaseline SAR interferometry phase unwrapping," IEEE Geosci. Remote Sens. Letts., Submitted for publication.

24. Reed, I. S., J. D. Mallett, and L. E. Brennan, "Rapid convergence rate in adaptive array," IEEE Trans. Aerosp. Electron Syst., Vol. 10, 853-863, 1974.
doi:10.1109/TAES.1974.307893

25. Li, Z. F., Z. Bao, and Z. Y. Suo, "A joint image coregistration, phase noise suppression, and phase unwrapping method based on subspace projection for multibaseline InSAR systems ," IEEE Trans. Geosci. Remote Sens., Vol. 45, No. 3, 584-591, 2007.
doi:10.1109/TGRS.2006.888143