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The Suggestion of the Image Registration Using Terrain Relief Correction Based on RFM

유리함수모델 기반 표고시차보상기법을 사용한 Image Registration 방안 제안

  • 김현숙 ((주)쎄트렉아이 지상사업부) ;
  • 김문규 ((주)쎄트렉아이 지상사업부) ;
  • 서두천 (한국항공우주연구원 영상검보정기술팀)
  • Received : 2011.12.02
  • Accepted : 2012.01.19
  • Published : 2012.02.29

Abstract

When two bands have different look angle in a space-borne camera system, the registration between two bands is required. The registration cannot be modeled with constant parameters because of dynamic of platform and parallax effect. The parallax effect is caused by terrain relief, hence it causes local distortion between two bands. Therefore, the terrain relief correction in order to reduce the parallax effect is required for better registration result, especially for high resolution image data. Such terrain relief correction also can be applied to image data acquired from multiple detectors with different look angle within a band, which is a one of commonly used configuration for a wider swath in space-borne camera system, in order to reduce the distortion between detectors. The RFM is a popular abstract model in remote sensing field, which gives us the relationship between the image plane and geodetic coordinate system. Therefore, we propose a terrain relief correction method based on the RFM. The experiment showed very promising result.

위성 카메라의 두 밴드가 다른 관측 각(Look angle)으로 촬영 시, 두 밴드간의 정합이 요구된다. 밴드 정합(Band registration)은 플랫폼의 다이나믹스(Dynamics)와 시차효과로 인하여 상수매개변수(constant parameter)로 수학적인 모델을 수립하여 정합(registration)을 수행하기 어렵다. 시차효과는 지표면 표고에 의해 야기되는 현상으로 이는 두 밴드간 정합 특성이 지표면의 표고의 함수로 주어진다. 두 밴드간 정합이 성공적으로 이뤄지기 위하여 시차효과를 보상하는 표고시차보상기법이 요구된다. 이러한 표고시차보상은 특히 고해상도 영상정합에서 중요하다. 표고시차보상기법은 하나의 밴드를 다른 관측 각을 가지는 다수의 CCD라인으로 구성한 경우에도 적용이 가능하다. 한 밴드에서 촬영된CCD라인 영상들은 연결된CCD라인마다 다른 관측 각을 가짐으로CCD라인간 표고시차가 발생하여 CCD라인간 지상거리 차가 표고에 따라 증가되는 왜곡 현상이 나타나기 때문이다. 이를 보상하기 위해 기준밴드 또는 기준 CCD라인과 대상밴드 또는 대상 CCD라인간 영상과 지상간의 관계를 다항식을 사용하여 수학적으로 모델 하는RFM을 사용하였다. 실험결과, 표고시차가 존재하는 영상에 대해서도 제안된 기법으로 밴드 정합이 성공적으로 수행되는 것을 확인하였다.

Keywords

References

  1. CGIAR-SCI. (2008), SRTM 90m Digital Elevation Data, August 19, CGIAR-SCI, http://srtm.csi.cgiar.org/.
  2. Daniela Poli. (2001), General Model for Multi-Line CCD Array Sensors. Application for Cloud-top Height Estimation, 3rd International Image Sensing Seminar on New Development in Digital Photogrammetry, Gifu, Japan, 24-27 September 2001.
  3. Francoise De Lussy, Philippe Kubik, Daniel Greslou, Véronique Pascal and Patrick Gigord, (2005), Pleiades-HR image system products and quality Pleiades-HR image system products and geometric accuracy, In Proceedings of the International Society for Photogrammetry and Remote Sensing Workshop, Hannover, Germany, 17-20 May 2005.
  4. Greslou, D. and Delussy, F. (2006), Geometric Calibration of Pleiades Location Model, ISPRS, Commission I, Poster Session2 - WGs I/1, I/2, I/6.
  5. Hong-Gyoo, S., Chong-Hwan, P., and Hoon, C. (2005), Rational Functional Model-based Image Matching For Digital Elevation Models, The Photogrammetric Record 20(112), pp. 366-383, December 2005. https://doi.org/10.1111/j.1477-9730.2005.00328.x
  6. Hu, Young and Vincent Tao, C. (2002), Updating Solution of the Rational Function Model Using Additional Control Information, Photogrammetric Engineering and Remote Sensing. July 2002, pp. 707-714.
  7. Jacobsen, K. (2006), Calibration of Imaging Satellite Sensors., ISPRS volume number: XXXVI-1/W41, Ankara, Turkey.
  8. Jean-Luc, L., Catherine Gaudin-Delarieu., David, V., Christophe, R., Thierry T. and Jean-Marc, L. (2004), Design of The High Resolution Optical Instrument for The Pleiades HR Earth Observation Satellites, Proceeding of the 5th International Conference on Space Optics (ICSO 2004), 30 March-2 April 2004, Toulouse, France.
  9. Jeff Zhizhong, Xu. (2004), The Rational Function Model(RFM) in Photogrammetric Mapping Method and Accuracy, the degree of master, York University, pp. 15-45.
  10. Kocaman, S. and Gruen, (2007), A Rigorous Sensor modeling of ALOS/PRISM Imagery. 8th Conference on Optical 3D Measurement Techniques, Zurich, Switzerland, 9-12 July.
  11. Vincent Tao, C. and Hu, Young. (2001), A Comprehensive Study of The Rational Function Model for Photogrammetric Processing, Photogrammetric Engineering and Remote Sensing, Vol. 67, No.12, pp. 1348-1357.
  12. Vincent Tao, C. and Hu, Young. (2002), 3D Reconstruction Methods Based on the Rational Function Model, Photogrammetric Engineering and Remote Sensing, Vol.68, No.7, pp. 707-714.
  13. Zanoni, V., Pagnutti, M., Ryan, R., Helder, D., Lehman, W., Roylance, S., and Snyder, G. (2004), The Joint Agency Commercial Imagery Evaluation(JACIE) team and product characterization approach, ISPRS, Post-Launch Calibration of Satellite Sensors Morain & Budge 2004 Taylor & Francis Group, pp. 135-141.