DOI QR코드

DOI QR Code

Detection of the Unified Control Points for RPC Adjustment of KOMPSAT-3 Satellite Image

KOMPSAT-3 위성영상의 RPC 보정을 위한 국가 통합기준점 탐지

  • Lee, Hyoseong (Dept. of Civil Engineering, Sunchon National University) ;
  • Han, Dongyeob (Dept. of Marine and Civil Engineering, Chonnam National University) ;
  • Seo, Doochun (Korea Aerospace Research Institute) ;
  • Park, Byungwook (Dept. of Civil, Safety, and Environmental Engineering, Hankyong National University) ;
  • Ahn, Kiweon (Dept. of Civil Engineering, Gyeongsang National University(Engineering Research Institute))
  • Received : 2014.12.18
  • Accepted : 2014.12.26
  • Published : 2014.12.31

Abstract

The KOMPSAT-3 can acquire panchromatic stereo image with 0.7 m spatial resolution, and provides Rational Polynomial Coefficient (RPC). In order to determine ground coordinate using the provides RPC, which include interior-exterior orientation errors, its adjustment is needed by using the Ground Control Point (GCP). Several thousands of national Unified Control Points (UCPs) are established and overall distributed in the country by the Korean National Geographic Information Institute (NGII). UCPs therefore can be easily searched and downloaded by the national-control-point-record-issues system. This paper introduced the point-extraction method and the distance-bearing method to detect of UCPs. As results, the distance-bearing method was better detected through the experiment. RPC adjustment using this method was compared with that by only one UCP and GCPs using GPS. The proposed method was more accurate than the other method in the horizontal. As demonstrated in this paper, the proposed UCPs detection method could be replaced GPS surveying for RPC adjustment.

KOMPSAT-3는 0.7 m 공간해상도의 스테레오 흑백영상을 획득할 수 있으며, RPC를 제공하고 있다. 내 외부표정요소 오차를 포함하고 있는 제공 RPC로부터 지상좌표를 결정하기 위해서는 지상기준점을 이용한 RPC 조정이 필요하다. 우리나라에는 국토지리정보원에 의해 수천 개의 국가 통합기준점이 국토 전역에 걸쳐 설치되고 분포되어 있다. 따라서 통합기준점은 국토지리정보원의 국가기준점발급시스템에서 쉽게 검색되고 다운로드 받을 수 있다. 본 연구는 KOMPSAT-3 위성영상에서 UCP를 탐지하기 위해, 특징점 추출 방법과 거리 방향각 적용방법을 제안하였다. 그 결과, 거리 방향각 적용방법이 더 좋은 결과를 보였다. 이 방법으로 조정된 RPC는 UCP 한 점만 적용한 경우, GPS 지상 기준점을 이용하여 조정한 경우와 비교하였다. 그 결과, 평면위치 정확도는 제안 방법이 가장 우수하였다. 따라서 본 연구에서 제안한 UCP 탐지방법으로 RPC 보정을 위한 GPS 현장관측을 대체할 수 있을 것이다.

Keywords

References

  1. Ahn, K.W., H.C. Lim, and D.C. Seo, 2002. The application of RFM for geometric correction of high-resolution satellite image data, Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography, 20(2): 155-164 (in Korean with English abstract).
  2. Ahn, K., H. Lee, D. Seo, B. Park, and D. Jeong, 2014. The use of the unified control points for RPC adjustment of KOMPSAT-3 satellite image, Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography, 32(5): 539-550 (in Korean with English abstract). https://doi.org/10.7848/ksgpc.2014.32.5.539
  3. Di, K., R. Ma, and R.X. Li, 2003. Rational functions and potential for rigorous sensor model recovery, Photogrammetric Engineering & Remote Sensing, 69(1): 33-41. https://doi.org/10.14358/PERS.69.1.33
  4. Fraser, C.S. and H.B. Hanley, 2003. Bias compensation in rational functions for IKONOS satellite imagery, Photogrammetric Engineering & Remote Sensing, 69(1): 53-57. https://doi.org/10.14358/PERS.69.1.53
  5. Grodecki, J. and G. Dial, 2003. Block adjustment of high-resolution satellite images described by rational polynomials, Photogrammetric Engineering & Remote Sensing, 69(1): 59-68. https://doi.org/10.14358/PERS.69.1.59
  6. Kang, J.M., Y.W. Lee, and J.K. Park, 2003. The geometric correction of IKONOS image using rational polynomial coefficients and GCPs, Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography, 21(2): 165-172 (in Korean with English abstract).
  7. KARI, 2013. KOMPSAT-3 image data manual, Korea Aerospace Research Institute, Daejeon, http://kompsat.satreci.com(last date accessed: 25 November 2013).
  8. Lee, C.N. and J.H. Oh, 2014. LiDAR chip for automated geo-referencing of high-resolution satellite imagery, Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography, 32(4-1): 319-326 (in Korean with English abstract). https://doi.org/10.7848/ksgpc.2014.32.4-1.319
  9. Lee, H., D. Seo, K. Ahn, and D. Jeong, 2013. Positioning accuracy analysis of KOMPSAT-3 satellite imagery by RPC adjustment, Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography, 31(6-1): 503-509 (in Korean with English abstract). https://doi.org/10.7848/ksgpc.2013.31.6-1.503
  10. NGII, 2003. National spatial information by means of statistics, Surveying & Mapping Magazine, Special 3, National Geographic Information Institute, Suwon, pp. 50-57 (in Korean).
  11. NGII, 2013. Project plan of 2013 National Geographic Information Institute, Surveying & Mapping Magazine, Special(2), National Geographic Information Institute, Suwon, pp. 69-81 (in Korean).
  12. NGII, 2014. Record issues system of national control point, National Geographic Information Institute, Suwon, http://nbns.ngii.go.kr (last date accessed: 01 October 2014).
  13. Oh, J., C. Lee, Y. Eo, and J. Bethel, 2012. Automated georegistration of high-resolution satellite imagery using a RPC model with airborne lidar information, Photogrammetric Engineering & Remote Sensing, 78(10): 1045-1056. https://doi.org/10.14358/PERS.78.10.1045
  14. Oh, J.H. and C.N. Lee, 2014. Automated improvement of RapidEye 1-B geo-referencing accuracy using 1:25,000 digital maps, Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography, 32(5): 505-513 (in Korean with English abstract). https://doi.org/10.7848/ksgpc.2014.32.5.505
  15. Oh, K.Y. and H.S. Jung, 2012. Automatic geometric calibration of KOMPSAT-2 stereo pair data, Korean Journal of Remote Sensing, 28(2); 191-202 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2012.28.2.191
  16. Seo, D. and H. Kim, 2011. Characterizing overlap area of KOMPSAT-3, Aerospace Engineering and Technology, 10(2): 154-162 (in Korean with English abstract).

Cited by

  1. Updating Absolute Radiometric Characteristics for KOMPSAT-3 and KOMPSAT-3A Multispectral Imaging Sensors Using Well-Characterized Pseudo-Invariant Tarps and Microtops II vol.10, pp.5, 2018, https://doi.org/10.3390/rs10050697