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Characteristics of the SAR Images and Interferometric Phase over Oyster Sea Farming Site

굴 양식장에서의 SAR 영상 및 간섭위상 특성

  • 김상완 (연세대학교 지구시스템과학과) ;
  • 이창욱 (연세대학교 지구시스템과학과) ;
  • 원중선 (연세대학교 지구시스템과학과)
  • Published : 2002.08.01

Abstract

We carried out studies on SAR image intensity and interferometric phase over oyster sea farms. Strong backscattering was observed in amplitude images, and that was considered as a radar signal double bouncing from horizontal bars. These sea farming structures are not visible in satellite optical images except IKONOS image, so that it demonstrates the value of radar remote sensing as an effective tool in support of sea farm detection. The intensity of the image is sensitive to system parameters including wavelength, polarization, and look direction, but does not correlate to tide height. We found that the strongest backscattering can be obtained by L-band HH-polarization with a look direction perpendicular to the horizontal bar. We also succeeded in generating 21 coherent JERS-1 SAR interferometric pairs over the oyster farms. The general trend of the fringe rate of the interferometric phases appeared to be governed by altitude of ambiguity. The general trend was modeled by an inverse function and removed to have a residual phase. The residual phase showed a linear relation with the tide height. The results demonstrate for the first time that SAR can possibly be used to estimate sea level. However, the r.m.s. error of a regression line is 11.7 cm, and that is so far too large to make reliable assessments of sea level in practical applications. Further studies is required to improve the accuracy specifically using multi-polarization SAR data.

굴 양식장 및 주변해역에서 얻어진 SAR 자료의 반사강도 및 레이더 간섭위상에 대한 분석을 실시하였다. 진폭영상에서는 매우 강한 역산란 현상이 관측되었으며, 이는 수평막대에 의한 이차산란(double bounce) 신호에 의한 것으로 해석된다. 굴 양식장 구조물은 IKONOS와 같은 고해상도 광학영상 외에는 관측 할 수 없으며, 이는 레이더 영상의 활용이 매우 유용하다는 것을 잘 보여준다. 연구지역에서 나타나는 SAR 진폭영상 화소값은 조위와는 상관관계가 거의 없으며, 이보다는 파장, 편광, 관측방향에 더 민감한 것으로 나타났다. L-밴드 HH-편광 신호가 수평막대에 수직의 관측방향을 가질 때 가장 큰 반사강도를 나타낸다. 또한 JERS-1 SAR 영상을 이용하여 해수면에서 최초로 매우 높은 긴밀도를 유지하는 21개의 간섭도를 생성하였다. 이들 간섭도의 fringe 변화율은 일차적으로 altitude of ambiguity와 매우 밀접한 관계를 갖는다. 이를 역함수를 이용하여 최적화된 모델로 위상을 제거한 후 얻어진 잔여간섭위상은 조위 변화와 선형의 관계를 보이며, 이는 SAR를 이용한 조위차 관측의 가능성을 제시한다. 그러나 직선 회귀식의 최소제곱근 오차는 11.7 cm로 정밀도가 아직 실제 활용 가능한 정도는 아니며, 정밀도를 높이기 위해 앞으로 다중편광 SAR 자료를 이용한 추가적인 연구가 필요하다.

Keywords

References

  1. 한국의 갯벌;환경, 생물 그리고 인간 고철환
  2. IEEE Transactions on Geoscience and Remote Sensing v.39 no.2 Amazon Floodplain Water Level Changes Measured with Interferometric SIR-C Radar Alsdorf D.E.;L.C. Smith;M. Melack.
  3. Nature v.404 Interferometric radar measurements of water level changes on the Amazon flood plain Alsdorf D.E.;J.M. Melack;T. Dunne;L.A.K. Mertes;L.L. Hess;L.C. Smith.
  4. Geophysical Research Letters v.28 no.14 Water Level Changes in a Large Amazon Lake Measured with Spaceborne Radar Interferometry and Altimetry Alsdorf D.E.;C. Birkett;T. Dunne;J.M. Melack;L.L. Hess.
  5. Nature v.407 Widespred uplift and ‘trapdoor’ faulting on Galapagoes observed with radar interferometry Amelung F.;S. Jonnson;H.A. Zebker;P. Segall
  6. IEEE Transactions on Geoscience and Remote Sensing v.38 no.5 Nonlinear Subsidence Rate Estimation Using Permanent Scatterers in Differential SAR Interferometry Ferretti A.;C. Prati;F. Rocca.
  7. Science v.262 Satellite radar interferometry for monitoring ice sheet motion;Application to an Antarctic ice stream Goldstein R.M.;H. Engelhardt;B. Kamb;R.M. Frolich
  8. Rev. Geophys v.36 Radar interferometry and its application to changes in the earth’s surface Massonnet D.;K.L. Feigl
  9. Nature v.375 Deflation of Mount Etna monitored by spaceborne radar interferometry Massonnet D.;P. Briole;A. Arnaud
  10. Nature v.364 The displacement field of the Landers earthquake mapped vy radar interferometry Massonnet D.;M. Rossi;C. Carmona;F. Adragna;G. Peltzer;K. Fiegl;T. Rabaute.
  11. Introduction to Probability and Statistics for Engineers and Scientists Ross S.M.
  12. FRINGE'96 An iterative algorithm for ERS baseline estimation Seymour M.S.;I.G. Cumming
  13. User’s Guide to NASDA’s SAR products, Earth Observation research center National Space Development Agency of Japan Shimada M.
  14. Microwave Remote Sensing; Active and Passive v.Ⅱ Ulaby F.(et al.)
  15. IEEE Trans. Geosci. Remote Sens. v.32 Accuracy of topographic maps derived from ERS-1 interferometric radar Zebker H.A.;C.L. Warner;P.A. Rosen;Scott Hensley
  16. J. Geophys. Res. v.99 On the derivation of coseismic displacement fields using differential radar interferometry;The Landers earthquake Zebker H.A.;P.A. Rosen;P.M. Goldstein;A. Gabriel;C.L. Werner
  17. IEEE Trans. Geosci. Remote Sens. v.30 The TOPSAR interferometric radar topographic mapping instrument Zebker H.A.;S.N. Madsen;J. Martin;K.B. Wheeler;T. Miller;Y. Lou;G. Alberti;S. Vetrella;A. Cucci