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Development a GB-SAR (I) : System Configuration and Interferometry

GB-SAR의 개발 (I) : 시스템 구성과 간섭기법

  • 이훈열 (강원대학교 지구물리학과) ;
  • 성낙훈 (한국지질자원연구원 지반안전연구부) ;
  • 김정호 (한국지질자원연구원 지반안전연구부) ;
  • 조성준 (한국지질자원연구원 지반안전연구부)
  • Published : 2007.08.30

Abstract

GB-SAR (Ground-Based Synthetic Aperture Radar) system is an imaging radar that obtains high resolution 2-D image through a synthetic aperture effect from the accurate linear-motion control of antenna on the ground. The highly versatile system configurations and accurate repeatability of GB-SAR operation allow one to accurately monitor the stability of surface scatterers with millimeter accuracy by SAR interferometry. In this paper we introduce the development of a GB-SAR system and show the possibilities of SAR polarimetry and interferometry such as DInSAR, Cross-Track InSAR, Delta-f InSAR, and PSInSAR.

GB-SAR (Ground-Based Synthetic Aperture Radar) 시스템은 지상에서 안테나의 정밀한 일축 제어를 통해 합성 구경(synthetic aperture) 효과를 얻어 높은 해상도의 2차원적 영상을 얻는 영상레이더(imaging radar)이다. GB-SAR 시스템의 높은 유연성과 안정된 반복 측정으로 SAR 간섭기법을 통하여 산란체의 시간에 따른 변위를 mm 정밀도로 모니터링 할 수 있다. 이 논문에서는 GB-SAR 시스템의 개발을 소개하고 여러 가지 영상 획득 모드를 통하여 얻어진 다편파 SAR 영상을 비롯하여 DInSAR, Cross-Track InSAR, Delta-f InSAR, PSInSAR 등 GB-SAR 시스템을 이용한 다양한 간섭기법의 응용 가능성을 보였다.

Keywords

References

  1. 이훈열, 2005. 교육용 합성구경레이더 프로세서(eSAR Processor)의 개발과 공개, 대한원격탐사학회지, 21(2): 163-171 https://doi.org/10.7780/kjrs.2005.21.2.163
  2. 조성준, 김정호, 성낙훈, 정지민, 2005. PXI를 이용한 다목적 물리탐사 측정 시스템, 물리탐사, 8(3): 224-231
  3. Adam, N., 2003. First cross interferogram using the radar sensors ENVISAT/ASAR and ERS-2, avaliable online at: http://www.dlr.de/caf/aktuelles/archiv/bilderarchiv/envisat/cross_interferogramm/_cross_interferogramm/cross_interferogramm_en.htm
  4. Brown, S. C. M., S. Quegan, K. Morrison, J. C. Bennett, and G. Cookmartin, 2003. Highresolution measurements of scattering in wheat canopies-implications for crop parameter retrieval, IEEE Transactions on Geoscience and Remote Sensing, 41(7): 1602-1610 https://doi.org/10.1109/TGRS.2003.814132
  5. Cho, B. L., Y. K Kong, H. G. Park, and Young-Soo Kim, 2006. Automobile-based SAR/InSAR System for Ground Experiments, IEEE Geoscience And Remote Sensing Letters, 3(3): 401-405 https://doi.org/10.1109/LGRS.2006.873358
  6. Ferretti, A., C. Prati, and F. Rocca, 2001. Permanent scatterers in SAR interferometry, IEEE Transactions on Geoscience and Remote Sensing, 39(1): 8-20 https://doi.org/10.1109/36.898661
  7. Fortuny, J. and A. J. Sieber, 1994. Fast algorithm for a near-field synthetic aperture radar processor, IEEE Transactions on Antennas and Propagation, 42(10): 1458-1460 https://doi.org/10.1109/8.320756
  8. Gomez-Dans, J. L., S. Quegan, and J. C. Bennett, 2006. Indoor C-band polarimetric interferometry observations of a mature wheat canopy, IEEE Transactions on Geoscience and Remote Sensing, 44(4): 768-777 https://doi.org/10.1109/TGRS.2005.863861
  9. Leva, D., G. Nico, D. Tarchi, J. Fortuny-Guasch, and A. J. Sieber, 2003. Temporal analysis of a landslide by means of a ground-based SAR interferometer, IEEE Transaactions on Geoscience and Remote Sensing, 41(4): 745-757 https://doi.org/10.1109/TGRS.2003.808902
  10. Nesti, G., J. Fortuny, and A. J. Sieber, 1996. Comparison of backscattered signal statistics as derived from indoor scatterometric and SAR experiments, IEEE Transactions on Geoscience and Remote Sensing, 34(5): 1074-1083 https://doi.org/10.1109/36.536523
  11. Nico, G., D. Leva, G. Antonello, and D. Tarchi, 2004. Ground-based SAR interferometry for terrain mapping: Theory and sensitivity analysis, IEEE Transacations on Geoscience and Remote Sensing, 42(6): 1344-1350 https://doi.org/10.1109/TGRS.2004.826556
  12. Nico, G., D. Leva, J. Fortuny-Guasch, G. Antonello, and D. Tarchi, 2005. Generation of digital terrain models with a Ground-Based SAR system, IEEE Transactions on Geoscience and Remote Sensing, 43(1): 45-49 https://doi.org/10.1109/TGRS.2004.838354
  13. Noferini, L., M. Pieraccini, D. Mecatti, G. Luzi, C. Atzeni, A. Tamburini, and M. Broccolato, 2005. Permanent scatterers analysis for atmospheric correction in ground-based SAR interferometry, IEEE Transactions on Geoscience and Remote Sensing, 43(7): 1459-1471 https://doi.org/10.1109/TGRS.2005.848707
  14. Sarabandi, K., 1997. ${\Delta}k-radar$ equivalent of interferometric SAR's : A theoretical study for determination of vegetation height, IEEE Transactions on Geoscience and Remote Sensing, 35(5): 1267-1276 https://doi.org/10.1109/36.628793
  15. Tarchi, D., N. Casagli, R. Fanti, D. D. Leva, G. Luzi, A. Pasuto, M. Pieraccini, and S. Silvano, 2003. Landslide monitoring by using groundbased SAR interferometry: an example of application to the Tessina landslide in Italy, Engineering Geology, 68: 15-30 https://doi.org/10.1016/S0013-7952(02)00196-5
  16. Tarchi, D., H. Rudolf, M. Pieraccini, and C. Atzeni, 2000. Remote monitoring of buildings using a ground-based SAR: application to cultural heritage survey, International Journal of Remote Sensing, 21(18): 3545-3551 https://doi.org/10.1080/014311600750037561
  17. Zhou, Z. -S., W. -M. Boerner, and M. Sato, 2004. Development of a ground-based polarimetric broadband SAR system for noninvasive ground-truth validation in vegetation monitoring, IEEE Transactions on Geoscience and Remote Sensing, 42(9): 1803-1810 https://doi.org/10.1109/TGRS.2004.832248