2013-05-15
Terrain Height Estimation Using a Stereo-SAR Technique Aided by a Reference Point
By
Progress In Electromagnetics Research M, Vol. 31, 1-11, 2013
Abstract
A stereo-synthetic aperture radar (stereo-SAR) technique is proposed to estimate the terrain height of a target area. A reference point with known altitude is located within the target area to calibrate the height estimation. The estimated height error can be reduced to one meter. This method requires the processing techniques of conventional SAR, while achieving a fairly fine resolution in height estimation for practical applications.
Citation
Kung-Yu Lu, and Jean-Fu Kiang, "Terrain Height Estimation Using a Stereo-SAR Technique Aided by a Reference Point," Progress In Electromagnetics Research M, Vol. 31, 1-11, 2013.
doi:10.2528/PIERM13031909
References

1. Stimson, G. W., Introduction to Airborne Radar, 2nd Ed., SciTech, 1998.

2. Soumekh, M., Synthetic Aperture Radar Signal Processing with MATLAB Algorithms, Wiley-Interscience, 1999.

3. Cumming, I. G. and F. H. Wong, "Digital Processing of Synthetic Aperture Radar Data Algorithms and Implementation," Artech House, 2005.        Google Scholar

4. Chen, L.-C. L.-Y. Chang, "Three-dimensional positioning using SPOT stereo strips with sparse control," J. Surveying Eng., Vol. 124, No. 2, 63-72, May 1998.
doi:10.1061/(ASCE)0733-9453(1998)124:2(63)        Google Scholar

5. Chen, L.-C., T.-A. Teo, and C.-L. Liu, "The geometrical comparisons of RSM and RFM for FORMOSAT-2 satellite images," Photogram. Eng. Remote Sens., Vol. 72, No. 5, 573-579, May 2006.        Google Scholar

6. Hu, Y. and C.-V. Tao, "Updating solutions of the rational function model using additional control information," Photogram. Eng. Remote Sens, Vol. 68, No. 7, 715-723, Jul. 2002.        Google Scholar

7. Reinartz, P., R. Muller, M. Lehner, and M. Schroeder, "Accuracy analysis for DSM and orthoimages derived from SPOT HRS stereo data using direct georeferencing," ISPRS J. Photogram. Remote Sens., Vol. 60, 160-169, Jul. 2006.        Google Scholar

8. Weser, T., F. Rottensteiner, J. Willneff, J. Poon, and C. S. Fraser, "Development and testing of a generic sensor model for pushbroom satellite imagery," Photogram. Eng. Remote Sens., Vol. 71, No. 11, 1321-1327, Nov. 2005.        Google Scholar

9. Grodecki, J. and G. Dial, "Block adjustment of high-resolution satellite-images described by rational polynomials," Photogram. Eng. Remote Sens., Vol. 69, No. 1, 59-68, Jan. 2003.        Google Scholar

10. Toutin, T. and R. Chenier, "3-D radargrammetric modeling of RADARSAT-2 ultrafine mode: Preliminary results of the geometric calibration," IEEE Trans. Geosci. Remote Sens. Lett., Vol. 6, No. 3, 611-615, Jul. 2009.
doi:10.1109/LGRS.2009.2024391        Google Scholar

11. Davis, C. H., H. Jiang, and X. Wang, "Modeling and estimation of the spatial variation of elevation error in high resolution DEMs from stereo-image processing," IEEE Trans. Geosci. Remote Sens., Vol. 39, No. 11, 2483-2489, Nov. 2001.
doi:10.1109/36.964985        Google Scholar

12. Miyazaki, Y., T. Osani, and H. Watanabe, "Digital terrain model of JERS-1 data for ASTER VNIR stereo application," IEEE Int. Geosci. Remote Sens. Symp., Vol. 1, 131-133, Aug. 1993.        Google Scholar

13. Kenyi, L. W., R. Dubayah, M. Hofton, and M. Schardt, "Comparative analysis of SRTMVNED vegetation canopy height to LIDAR-derived vegetation canopy metrics," Int. J. Remote Sens., Vol. 30, No. 11, 2797-2811, Jun. 2009.
doi:10.1080/01431160802555853        Google Scholar

14. Brown, C. G., K. Sarabandi, and L. E. Pierce, "Model-based estimation of forest canopy height in red and Austrian pine stands using shuttle radar topography mission and ancillary data: A proof-of-concept study," IEEE Trans. Geosci. Remote Sens., Vol. 48, No. 3, 1105-1118, Mar. 2010.
doi:10.1109/TGRS.2009.2031635        Google Scholar

15. Garestier, F., P. D. Fernandez, X. Dupuis, P. Paillou, and I. Hajnsek, "PolInSAR analysis of X-band data over vegetated and urban areas," IEEE Trans. Geosci. Remote Sens., Vol. 44, No. 2, 356-364, Feb. 2006.
doi:10.1109/TGRS.2005.862525        Google Scholar

16. Tan, L. and R. Yang, "Investigation on tree height retrieval with polarimetric SAR interferometry," IEEE Int. Geosci. Remote Sens. Symp., 546-549, Jul. 2008.        Google Scholar

17. Solberg, S., D. J. Weydahl, and E. Masset, "Simulating X-band interferometric height in a spruce forest from airborne laser scanning," IEEE Trans. Geosci. Remote Sens., Vol. 48, No. 9, 3369-3378, Sep. 2010.
doi:10.1109/TGRS.2010.2046493        Google Scholar

18. Tsai, S.-C. and J.-F. Kiang, "Floating dropsondes with DGPS receiver for real-time typhoon monitoring," IEEE Trans. Geosci. Remote Sens., Vol. 49, No. 11, 4363-4373, Nov. 2011.
doi:10.1109/TGRS.2011.2144608        Google Scholar

19. Buckreuss, S., R. Werninghaus, and W. Pitz, "German satellite mission TerraSAR-X," IEEE Aero. Electron. Syst. Mag., Vol. 24, No. 11, 4-9, Nov. 2009.
doi:10.1109/MAES.2009.5344175        Google Scholar

20., Google Earth Software for Microsoft Windows, Ver 6.2.
doi:10.1109/MAES.2009.5344175        Google Scholar

21., Online, http://www.anntw.com/awakening/news center/show.php?itemid=37489.
doi:10.1109/MAES.2009.5344175        Google Scholar