Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회지)

Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회)
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Accuracy Evaluation of Terrain Correction of High Resolution SAR Imagery with the Quality of DEM

DEM 품질에 따른 고해상도 SAR 영상의 지형 보정 정확도 평가

  • 이경엽 (한국항공우주연구원 위성정보연구센터) ;
  • 변영기 (한국항공우주연구원 위성정보연구센터) ;
  • 김윤수 (한국항공우주연구원 위성정보연구센터)
  • Received : 2012.10.20
  • Accepted : 2012.11.24
  • Published : 2012.12.31
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Abstract

It was pointed out that the terrain distortion of SAR image is even worse than that of optical image although SAR imagery has the advantages of being independent of solar illumination and weather conditions. It is thus necessary to correct terrain distortion in SAR image for various application areas to integrate SAR and optical image information. There has to be a clear evaluation of terrain correction of high resolution SAR image according to the quality of DEM because the DEM of study site is generally used in the process of terrain correction. To achieve this issue, this paper compared the effects of quality of Digital Elevation Model(DEM) in the process of terrain correction of high resolution SAR images, using the DEM produced from 1:5000 topographic contour maps, LiDAR DEM, ASTER GDEM, SRTM DEM. We used TerraSAR-X and Cosmo-SkyMed, as the test data set, which are constructed on the same X-band SAR system as KOMPSAT-5. In order to evaluate quantitatively the correction results, we conducted comparative evaluation with the KOMPSAT-2 ortho image of the same region. The evaluation results showed that the DEM produced from 1:5000 topographic contour maps achieved successful results in the terrain correction of SAR image compared with the other DEM data, and the widely used SRTM DEM data in various applications was not suitable for the terrain correction of high resolution SAR images.

SAR는 기상상태와 태양고도 제약을 받지 않고 영상을 취득할 수 있는 장점을 갖지만 측면 관측 촬영방식으로 인해 고도에 의한 왜곡이 발생하여 광학영상과의 통합적 활용을 위해서는 지형 보정 작업이 필수적이다. 일반적으로 SAR 영상의 지형보정은 대상지역의 수치표고모델(Digital Elevation Model, DEM)을 사용하여 수행되기 때문에 DEM 품질이 지형보정 정확도에 미치는 영향에 대한 평가가 이루어져야 한다. 이를 위해 본 연구에서는 1:5000 수치지도로부터 제작한 DEM, LiDAR DEM, ASTER GDEM, SRTM DEM을 비교 분석하여 고해상도 SAR 영상의 지형보정에 적합한 DEM을 탐색하였다. 실험데이터로는 KOMPSAT-5호와 동일한 고해상도 X-band SAR 시스템을 장착한 TerraSAR-X와 Cosmo-SkyMed 영상을 사용하였다. 지형보정 결과 평가를 위해 동일지역의 KOMPSAT-2 정사영상과의 정량적 비교평가를 수행하였다. 실험결과 수치지도로 제작한 DEM이 가장 정확한 지형보정 결과를 보였으며 현업에서 가장 많이 활용되고 있는 SRTM DEM의 경우 고해상도 SAR 영상의 지형보정에는 부적합 하였다.

Keywords

References

  1. 강경호, 김창재. 손홍규, 이원희 (2010), 1:5000 수치지형도를 이용한 ASTER DEM과 SRTM DEM의 구축 정확도평가, 한국측량학회지, 한국측량학회, 제 28권 제 1호, pp 169-178.
  2. 변영기, 채태병 (2012), 고해상도 SAR와 광학영상의 고주 파 정보를 이용한 다중센서 융합, 한국측량학회지, 한국측량학회, 제 30권, 제 1호, pp. 75-86. https://doi.org/10.7848/ksgpc.2012.30.1.075
  3. 한동엽 박민호, 김용일 (1998), Radarsat 영상의 기하보정방법에 대한 비교 연구 -DEM 해상도에 따라- , 한국측량학회지, 한국측량학회, 제14권 제 1호, pp. 69-82.
  4. 한유경, 변영기, 채태병, 김용일 (2011), KOMPSAT-2 영상과 TerraSAR-X 영상 간 자동기하보정, 한국측량학회지, 한국측량학회, 제 29권, 제 6호, pp. 441-449.
  5. ASTER Global DEM Validation Summary Report, June 2009.
  6. Charles, E. W., Daniel, R., Steinwand, G., Kelly, G., Meyer, D. J. (1992), Evaluation of Terrain Models for the Geocoding and Terrain Correction of Synthetic Aperture Radar (SAR) Images, IEEE Transactions on Geoscience and Remote Sensing, Vol. 30, No. 6, pp. 1137-1144. https://doi.org/10.1109/36.193789
  7. Curlander, J.C., McDonough, R. N. (1991), Synthetic Aperture Radar: Systems and Signal Processing. New York.
  8. Curlander, J. C. (1982) Location of spaceborne SAR imgery, IEEE Transactions on Geoscience and Remote Sensing, GE-20: 359 https://doi.org/10.1109/TGRS.1982.350455
  9. Holecz, F., Meier, E., Nuesch, D. (1993), Postprocessing of relief induced radiometric distorted spaceborne SAR imagery, in G. Schreier (editor), SAR Geocoding: Data and Systems, Kasrlsruhe: Wichmann: pp. 299-352.
  10. Krieger, G., Moreira, A., Fiedler, H., Hajnsek, I., Werner, M., Younis, M., Zink, M. (2007), TanDEM-X: A satellite formation for high-resolution SAR interferometry, IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 11, pp. 3317-3341. https://doi.org/10.1109/TGRS.2007.900693
  11. Lars M. H. Ulander (1996), Radiometric Slope Correction of Synthetic-Aperture Radar Images IEEE Transactions on Geoscience and Remote Sensing, Vol. 34, No.5, pp. 1115-1122. https://doi.org/10.1109/36.536527
  12. Leberl, F. (1998), Chapter 4: Radargrammetry, in F.M. Henderson and A.J. Lewis (editors), Principles & Applications of Imaging Radar, Manual of Remote Sensing, Third Edition, Volume 2, John Wiley& Sons, Inc., New York.
  13. Lee, J. S., Pottier, E. (2009), Polarimetric Radar Imaging from Basics to Application, CRC press.
  14. Lee, J. S. (1980), Digital image enhancement and noise filtering by use of local statistics, IEEE Pattern Analysis and Machine Intelligence, Vol. 2, No. 2, pp. 165-168.
  15. Lee, S. R. (2010), OVERVIEW OF KOMPSAT-5 PROGRAM, MISSION, AND SYSTEM, Proc. IEEE International Geoscience and Remote Sensing Symposium: pp. 797-800.
  16. Liu H., Zhao, Z., Jezek, K. C. (2004) Correction of Positional Er rors and Geometric Distor tions in Topographic Maps and DEMs Using a Rigorous SAR Simulation Technique. Photogrammetric Engineering & Remote Sensing, Vol. 70, No. 9, pp. 1031-1042. https://doi.org/10.14358/PERS.70.9.1031
  17. Muhleman, D. 0. (1964), Radar scattering from Venus and the Moon, Astronomical Journa1,i Vol. 24, pp. 34.
  18. Nonaka, T., Ishizuka, Y., Yamane, N., Shibayama, T., Takagishi, S., Sasagawa, T. (2008), Evaluation of the Geometric Accuracy of Terrasar-X, ISPRS Congress Technical Commission VII July 3-11, 2008 Beijing, China, Vol. 37, Part 7, pp. 135-140.
  19. Schubert, A., Jehle, M., Small, D., Meier, E. (2008), Geometric validation of TerraSAR-X high-resolution products. In: 3rd TerraSAR-X Science Team Meeting, Oberpfaffenhofen, DE, 25 November 2008.
  20. Shimada M. (2010), Ortho-Rectification and Slope Correction of SAR Data Using DEM and Its Accuracy Evaluation. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, Vol. 3, NO. 4, pp. 657-671. https://doi.org/10.1109/JSTARS.2010.2072984
  21. Wegmüller, U. (1999), Automated Terrain Corrected SAR Geocoding, Proceedings IEEE International Geoscience and Remote Sensing Symposium 99, Hamburg, 28 June - 2 July 1999 (CC03_02). pp. 1712-1714.
  22. Werner, C., Strozzi, T., Wegmüller, U., Wiesmanm, A. (2002), SAR geocoding and multi-sensor image registration. Proc. IEEE International Geoscience and Remote Sensing Symposium, pp. 902-904.
  23. Zhang Y., Zhang J., Yang C. (2003), A Quasi-automatic Rectification Method of SAR Image Based on Image Simulation, JOURNAL OF REMOTE SENSING, Vol. No.2, pp. 106-111.
  24. http://www.gamma-rs.ch/software/