Journal of Korean Society for Geospatial Information Science (대한공간정보학회지)

Korea Spatial Information Society (대한공간정보학회)
권호 표지
DOI QR코드

DOI QR Code

Assessment of DEM Generated by Stereo C-band and X-band SAR images using Radargrammetry

Radargrammetry를 이용한 C-밴드 및 X-밴드 SAR 위성영상의 DEM 생성 평가

  • Song, Yeong Sun (Dept. of Aerial Geoinformatics, Inha Technical College) ;
  • Kim, Gi Hong (Dept. of Civil Engineering, Kangneung-Wonju National University)
  • 송영선 (인하공업전문대학 항공지리정보과) ;
  • 김기홍 (강릉원주대학교 토목공학과)
  • Received : 2013.11.06
  • Accepted : 2013.12.13
  • Published : 2013.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

To extract the 3D geometric information from SAR(Synthetic Aperture Radar) images, two different techniques, interferometric SAR and radargrammetry, have been widely used. InSAR is most widely used for the generation of precise DEM(Digital Elevation Model) until now. But, Interferometric SAR requires severe temporal correlation over areas covered with vegetation and high relief areas. Because radargrammetry is less sensible to temporal correlation, it can provide better results than interferometric SAR in certain, especially X-band SAR. In this paper, we assess the properties of DEMs generated by radargrammetry using stereo C-band RADARSAT-1 images and X-band TerraSAR-X images.

SAR(Synthetic Aperture Radar) 영상으로부터 3차원 정보를 추출하는 방법에는 InSAR기법과 radargrammetry기법이 있다. 지금까지는 정밀한 DEM의 생성을 위해서 InSAR가 주로 사용되어 왔으나 InSAR는 지형의 기복이 심하거나 혹은 식생지역에서도 두 영상사이에 높은 상관도를 요구한다. 이에 비해 radargrammetry는 InSAR에 비해서 두 영상의 상관도에 덜 민감하기 때문에 경우에 따라서 DEM을 생성하는데 더 효과적일 수 있다. 특히 두 영상의 상관도를 유지하기가 어려운 X-밴드 SAR 위성영상의 경우는 DEM의 생성에 radargarmmetry가 더 유용할 수 있다. 본 연구에서는 C-밴드 위성인 RADARSAT-1의 입체위성영상과 X-밴드인 TerraSAR-X 입체위성영상에 radargrammetry기법을 적용하여 DEM을 생성하고, 그 특성을 분석하였다.

Keywords

References

  1. ang, S. N., Koh, J. W., Yun, K. H. and Kwak, J.H., 2012, A Study on RFM based radargrammetry using TerraSAR-X datasets, Journal of The Korean Society of Civil Engineers, Vol. 32, No.1D, pp. 88-94.
  2. d'Ozouville, N., Deffontaines, B., Benveniste, J., Wegmuller, U., Violette, S., and Marsily, G., 2008, DEM generation using ASAR (ENVISAT) for addressing the lack of freshwater ecosystems management, Santa Cruz Island, Galapagos. emote Sensing of Environment, Vol. 112, No.11, pp. 4131-4147. https://doi.org/10.1016/j.rse.2008.02.017
  3. Gonzales de Oliviera, C. and Paradella, W. R., 2008, An assessment of the altimetric information derived from spaceborne SAR (RADARSAT-1, SRTM3) and optical (ASTER) data for cartographic application in the Amazon region, Sensors, vol. 8, no. 6, pp. 3819-3829 https://doi.org/10.3390/s8063819
  4. Lee, H. Y. and Jang, S. Y., 2008, Analysis of KOMPSAT-5 Orbit for radargrammetry, Korean Journal of Remote Sensing, Vol. 24, No.4, pp. 351-358. https://doi.org/10.7780/kjrs.2008.24.4.351
  5. Leberl, F., 1990, Radargrammetric image processing, Artech House, Norwood, MA.
  6. Meeeric S., Fayard F., Pottier E., 2009, Radargrammetric SAR image processing. In: Geoscience and Remote Sensing, Pei-Gee Peter Ho (Ed.) InTech.
  7. Notti, D., Davalillo, J. C., Herrera, G. and Mora, O., 2010, Assessment of the performance of X-band satellite radar data for landslide mapping and monitoring: Upper Tena Valley case study, Nat. Hazards Earth Syst. Sci., 10, pp. 1865-1875 https://doi.org/10.5194/nhess-10-1865-2010
  8. Perko R., Raggam H., Deutscher J., Gutjahr K. and Schardt M., 2011, Forest assessment using high resolution SAR data in X-Band, Remote Sens. Vol. 3, pp. 792-815. https://doi.org/10.3390/rs3040792
  9. Pradhan, B., Bolch, T. and Buchroithner, M., 2009, Elevation modeling using radargrammetry: Case study from Malaysia, Proc. AGILE, pp. 1 -11.
  10. Raggam, H., Gutjahr, K., Perko, R. and Schardt, M., 2010, Assessment of the stereo-radargrammetric mapping potential of TerraSAR-X multibeam spotlight data, IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, No. 2, pp. 971-977. https://doi.org/10.1109/TGRS.2009.2037315
  11. Renga, A. and Moccia, A., 2009, Performance of stereo radargrammetric methods applied to spaceborne monostatic-bistatic synthetic aperture radar, IEEE Trans. Geosci. Remote Sens., vol. 47, no. 2, pp. 544 -560. https://doi.org/10.1109/TGRS.2008.2003184
  12. Lau, S. W., 2011, Comparison and fusion of space borne L-, C- and X- band SAR images for damage identification in the 2008 Sichuan Earthquake, TRITA-GIT EX 11-003
  13. Toutin T. and Gray L. 2000, state-of-the-art of elevation extraction from satellite SAR data. ISPRS Journal of Photogrammtery & Remote Sensing, Vol. 55, pp. 13-33. https://doi.org/10.1016/S0924-2716(99)00039-8
  14. Toutin, T., 2010, Impact of RADARSAT-2 SAR ultrafine-mode parameters on stereo-radargrammetric DEMs, IEEE Trans. Geosci. Remote Sens., vol. 48, no. 10, pp. 3816-3823. https://doi.org/10.1109/TGRS.2010.2048715

Cited by

  1. Evaluation of 3D-Positioning Method Using X-band SAR Satellite Images - Focused on InSAR, Radargrammetry and RPC vol.22, pp.4, 2014, https://doi.org/10.7319/kogsis.2014.22.4.117
  2. KOMPSAT 5호 InSAR영상을 이용한 DEM제작 정확도 평가 vol.47, pp.2, 2013, https://doi.org/10.22640/lxsiri.2017.47.2.39