Exterior Orientation Parameters Determination from Satellite Imagery RPC Camera Model

위성영상 RPC 카메라 모델로부터 외부표정요소 결정

  • 이효성 (서울대학교 지구환경과학부)
  • Published : 2005.03.01

Abstract

This paper proposes method for determining exterior orientation parameters (EOPs) from the RPC mathematical camera model of the satellite image. SPOT satellite stereo pair is pre-tested using the proposed method. As results that, geopositioning errors are similar with those of the original EOPs. Differences between EOPs determined from the RPC and original EOPs were small. IKONOS Geo-level stereo pair is tested by the proposed method. Results of this method are compared with those of the RPC block adjustment method which have been verified in reported studies. Consequently, the proposed method showed accuracy similar to the RPC block adjustment method. The digital elevation models (DEMs) of sample area acquired by the two method almost did not have a difference.

본 연구에서는 위성영상의 RPC 카메라 모델로부터 외부표정요소 결정방법을 제안하였다. 제안한 방법을 이용하여 SPOT 위성영상을 이용한 선행실험을 한 결과, RPC로부터 결정된 외부표정요소와 원래의 외부표정요소의 차이는 미소하였으며, 지상좌표 추출에 있어서도 거의 유사한 결과 정확도를 얻었다. 그리고 제안한 방법을 IKONOS 위성의 Geo레벨 입체영상에 적용한 후, RPC 블럭조정방법에 의한 위치결정 정확도와 비교한 결과, 유사한 결과를 나타냈으며, 두 방법으로 획득한 샘플지역의 DEM 또한 큰 차이를 보이지 않았다.

Keywords

References

  1. 박병욱 (1991), SPOT 위성데이터를 이용한 수치표고모델 생성에 관한 연구, 박사학위논문, 서울대학교, pp. 34-70
  2. 유복모 (2001), 현대 디지털 사진측량학, 문운당, pp. 245-248
  3. eh-d.com, 성균관대학교 (2002), IKONOS 위성영상을 이용한 1/5,000 수치지도 제작 연구, 위아 주식회사, http://www.spaceimagingasia.comlservice/pds_a.htm
  4. Chen., F. J. (1997), Application of Least-Squares Adjustment Technique to Geomatic Camera Calibration and Photograrnmetric Flow Visualization, NASA Langley Research Center, Virginia, http://techreports.larc.nasa.gov/ltrs/PDF/1 997/mtg/NASA-97-43iis-fjc.pdf
  5. Dial, G. (2000), IKONOS Satellite Mapping Accuracy, Proceedings of American Society for Photogrammetry & Remote Sensing Annual Conference, ASPRS, Washington D.C., CD-ROM
  6. Di, K., Ma, R., and Li, R. (2001), Deriving 3-D Shorelines from High Resolution IKONOS Satellite Images with Rational Functions, Proceedings of American Society for Photo-grammetry & Remote Sensing Annual Conference, ASPRS, St. Louis, Missouri, CD-ROM
  7. Di, K., Ma, R. and Li, R. X. (2003), Rational Functions and potential for Rigorous Sensor Model Recovery, Photogrammetric Engineering & Remote Sensing, ASPRS, Vol. 69, No. 1, pp. 33-41
  8. Di, K. and Li, R. (2004), CAHVOR Camera Model and Its Photogrammetric Conversion for Planetary Application, Journal of Geophysical Research, American Geophysical Union, Vol. 109, E04004, pp. 1-9
  9. Dowman, I. and Dolloff, J. T. (2000), An Evaluation of Rational Functions for Photogrammetric Restitution, Proceedings of International Archives of Photogrammetry & Remote Sensing, IAPRS, Amsterdam. Vol. 33, Part B3, pp. 254-266
  10. Fraser, C. S. and Hanley, H. B. (2003), Bias Compensation in Rational Functions for Ikonos Satellite Imagery, Photogrammetric Engineering & Remote Sensing, ASPRS, Vol. 69, No.1, pp. 53-57 https://doi.org/10.14358/PERS.69.1.53
  11. Grodecki, J. (2001), IKONOS Stereo Feature Extraction-RPC Approach, Proceedings of American Society for Photogrammetry & Remote Sensing Annual Conference, ASPRS, St. Louis, Missouri, CD-ROM
  12. Grodecki J. and Dial, G. (2001), IKONOS Geometric Accuracy, Spaceimaging, Thornton, http://www.spaceimaging.com/techpapers/ default.htm
  13. Grodecki, J. and Dial, G. (2003), Block Adjustment of highResolution Satellite Images Described by Rational Polynomials, Photogrammetric Engineering & Remote Sensing, ASPRS, Vol. 69, No.1, pp. 59-68
  14. Di, K., Ma, R., and Li, R. X. (2003), Rational Functions and potential for Rigorous Sensor Model Recovery, Photogrammetric Engineering & Remote Sensing, ASPRS, Vol. 69, No. 1, pp. 33-41 https://doi.org/10.14358/PERS.69.1.33
  15. Tao, C. V. and Hu, Y. (2002), 3D Reconstruction Methods Based on the Rational Function Model, Photogrammetric Engineering & Remote Sensing, ASPRS, Vol. 68, No.7, pp. 705-714