Vol. 14
Latest Volume
All Volumes
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]
2010-08-23
Reconstructing High-Accuracy Dem with Precise Orbit Data and External Dem
By
Progress In Electromagnetics Research M, Vol. 14, 15-32, 2010
Abstract
Reconstructing high-accuracy Digital Elevation Model (DEM) is influenced by phase errors, such as phase trend, low coherence problems and phase unwrapping. These problems could result in the conversion errors from the phase to height. In this paper, a method is proposed to reconstruct the high-accuracy DEM using satellite interferometric synthetic aperture radar (InSAR). The proposed algorithm mainly aims to reduce the phase errors from the phase trend and low coherence problems. It consists of three steps. Firstly, the orbit state vectors are precisely interpolated in 3-D coordinates rather than in a separate dimension with the exploration of the orbital elements. Secondly, the relationship between external DEM and the interfermetric phase is built by the improved precise geo-location algorithm. The phase trend is estimated according to the topographic information and then removed from the unwrapped interferogram. Thirdly, the interferogram in low coherent regions are all updated with the simulated phases from actual DEM. The accuracy of the InSAR derived DEM can be significantly improved without any ground control points (GCPs), especially in those regions contaminated by masses of residues. Meanwhile, the phase trend caused by atmosphere effects or orbits uncertainty can also be eliminated by using this method. The experiment has demonstrated the proposed method can yield quite satisfactory results for producing high-accuracy DEM using Envisat data.
Citation
Ai Bin, Li Xia, and Xiang Zheng, "Reconstructing High-Accuracy Dem with Precise Orbit Data and External Dem," Progress In Electromagnetics Research M, Vol. 14, 15-32, 2010.
doi:10.2528/PIERM10010503
References

1. Massonet, D. and K. L. Feigl, "Radar interferometry and its application to changes in the earth's surface," Reviews of Geophysics, Vol. 36, No. 4, 441-500, 1998.
doi:10.1029/97RG03139

2. Rosen, P. A., S. Hensley, and I. R. Joughin, "Synthetic aperture radar interferometry," Proceedings of the IEEE, Vol. 88, 333-382, 2000.
doi:10.1109/5.838084

3. Hanssen, R. F., Radar Interferometry Data Interpretation and Error Analysis, 63-64, Kluwer Academic Publishers, Dordrecht, 2001.

4. Wang, C., H. Zhang, and Z. Liu, Space-born Synthetic Apture Radar Interferometry, 48-49, Science Press, Beijing, 2002.

5. Zebker, H. A. and R. M. Goldstein, "Topographic mapping from interferometric synthetic aperture radar observations," Journal of Geophysical Research, Vol. 91, No. B5, 4993-4999, 1986.
doi:10.1029/JB091iB05p04993

6. Goldstein, R., "Atmospheric limitations to repeat-pass interferometry," Geophysical Research Letters, Vol. 22, No. 18, 2517-2520, 1995.
doi:10.1029/95GL02475

7. Liao, M. S., T.Wang, and L. J. Lu, "Reconstruction of DEMs from ERS-1/2 tandem data in mountainous area facilitated by SRTM data," IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 7, 2325-2335, 2007.
doi:10.1109/TGRS.2007.896546

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

9. Li, J., H. F. Huang, and D. N. Liang, "A multi-baseline InSAR DEM reconstruction approach without ground control points," Proceeding of the 2007 International Geoscience and Remote Sensing Symposium, IGARSS' 2007, 4509-4512, 2007.

10. Scharroo, R. and P. Visser, "Precise orbit determination and gravity field improvement for the ERS satellites," Journal of Geophysical Research, Vol. 103, No. C4, 8113-8127, 1998.
doi:10.1029/97JC03179

11. Chen, Q., G. X. Liu, and Y. S. Li, "Comparison and evaluation on accuracy in satellite InSAR DEM derived using coarse and precise orbit data," Journal of Remote Sensing, No. 10, 475-480, 2006.

12. Geudtner, D. and M. Schwäbisch, "An algorithm for precise reconstruction of InSAR imaging geometry: Application to ``flat Earth'' phase removal, phase-to-height conversion, and geocoding of InSAR-derived DEMs," Proceeding of EUSAR'96, 249-252, Könogswinter,Germany, 1996.

13. Gelautz, M., P. Paillou, C. W. Chen, and H. A. Zebker, "Radar stereo-and interferometry-derived digital elevation models comparison and combination using Radarsat and ERS-2 imagery," International Journal of Remote Sensing, Vol. 24, No. 24, 5243-5264, 2003.
doi:10.1080/0143116031000115139

14. Guarino, C., "SAR interferometry: A novel method for enhancing elevation maps by combining interferometry with shape-from-shading," IEEE International Conference on Image Processing, No. 1, 45-48, 1996.

15. Montenbruck, O. and E. Gill, Satellite Orbits --- Models Methods Applications, Springer, Berlin, Heidelberg, New York, 2000.

16. Jet Propulsion Laboratory "Shuttle radar topography mission: Mission overview," Available online at: http://www2.jpl.nasa.gov/srtm/missionoverview.html, Aug. 28, 2005.

17. Smith, B. and D. Sandwell, "Accuracy and resolution of shuttle radar topography mission data," Geophysical Research Letters, Vol. 30, No. 9, 1467-1470, 2003.
doi:10.1029/2002GL016643

18. Goblirsch, W., "The exact solution of the imaging equations for crosstrack interferometers," Proceeding of the 1997 International Geoscience and Remote Sensing Symposium (IGARSS' 97), Vol. 1, 439-441, 1997.
doi:10.1109/IGARSS.1997.615908

19. Eineder, M., "Efficient simulation of SAR interferograms of large areas and of rugged terrain," IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, No. 6, 1415-1427, 2003.
doi:10.1109/TGRS.2003.811692

20. Zebker, H. A. and J. Villasenor, "Decorrelation in interferometric radar echoes," IEEE Transactions on Geoscience and Remote Sensing, Vol. 30, No. 5, 950-959, 1992.
doi:10.1109/36.175330

21. Xiang, Z. and X. Z. Liu, "Analysis of the InSAR flattening errors and their influence on DEM reconstruction," IEEE Radar Conference, Vol. 4976989, May 2009.

22. Suchandt, S. and M. Eineder, "Experiences with SRTM/XSAR phase unwrapping using the minimum cost flow method," Proceeding of IEEE International Geoscience and Remote Sensing Symposium, Toulouse, 2003.