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디지털카메라와 다중영상접합법을 이용한 다차원 정사영상의 구축

Construction of Multi-Dimensional Ortho-Images with a Digital Camera and the Multi-Image Connection Method

  • 김동문 (남서울대학교 GIS공학과)
  • 투고 : 2014.06.11
  • 심사 : 2014.08.20
  • 발행 : 2014.08.28

초록

3차원 공간정보를 구축하기 위해서는 고정밀의 3차원 점군데이터를 취득할 수 있는 레이저스캐닝 기술과 고해상도의 다중분광 영상정보를 취득할 수 있는 사진측량용 카메라의 활용은 필수이다. 그러나 사진측량용 카메라는 장비특성상 높은 구입비와 어려운 구입경로, 낮은 적용성으로 폭넓은 활용분야에 비해 활용성이 떨어진다. 따라서 일반사용자가 빠르고 간편하게 접근할 수 있는 디지털카메라를 이용하여 다차원 정사영상을 구축하는 기법을 연구하였다. 즉 3차원공간정보의 핵심자료인 3차원 다중분광영상정보를 구축하기 위해 디지털카메라를 개조하고 캘리브레이션 작업을 수행하였다. 스테레오 사진측량을 위한 기준점 측량과 관측대상에 대한 다중분광촬영, 정사영상으로의 변환 등을 거쳐 다차원 정사영상을 구축하였다.

Essential to the establishment of such 3D spatial information are the laser scanning technology to obtain high-precision 3D point group data and the photography-metric camera to obtain high-resolution multispectral image information. The photography-metric camera, however, lacks in usability for its broad scope of utilization due to the high purchase price, difficult purchase channel, and low applicability. This study thus set out to investigate a technique to establish multi-dimensional ortho-image data with a single lens reflex digital camera of high speed and easy accessibility for general users. That is, the study remodeled a single lens reflex digital camera and calibrated the remodeled camera to establish 3D multispectral image information, which is the essential data of 3D spatial information. Multi-dimensional ortho-image data were collected by surveying the reference points for stereo photos, taking multispectral shots of the objects, and converting them into ortho-images.

키워드

참고문헌

  1. D Bowness, A C Lock, W Powrie, J A Priest, D J Richards, Monitoring the dynamic displacements of railway track, Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit, Vol. 221, pp. 13-22, 2007. https://doi.org/10.1243/0954409JRRT51
  2. Choi, H. S., Cheung, J. H., Kim, S. H., Ahn, J. H., Structural dynamic displacement vision system using digital image processing, NDT & E International, Vo. 44, No. 7, pp. 597-608, 2011. https://doi.org/10.1016/j.ndteint.2011.06.003
  3. Franke, R., Smooth Interpolation of Scattered Data by Local Thin Plate Splines, Comp. & Maths. with Appls, Vol. 8, No. 4, pp. 237-281, 1982. https://doi.org/10.1016/0771-050X(82)90046-8
  4. Hatfield, J.L., Asrar, G., and Kanemasu, E. T., Intercepted photosynthetically active radiation estimated by spectral reflectance, Remote Sensing of Environment, ScienceDirect, Vol. 14, Issues 1-3, pp. 65-75, 1984. https://doi.org/10.1016/0034-4257(84)90008-7
  5. Huete, A. R., Dian, K., Miura, T., Rodriguez, E. P., Gao, X. and G. Ferreira, Overview of the Radiometric and biophysical Performance of the MODIS Vegetation Indices, Remote Sensing of Environment, ScienceDirect, Vol. 83, Issues 1-2, pp. 195-213, 2002. https://doi.org/10.1016/S0034-4257(02)00096-2
  6. Jeon, K. H., Koo, J. Y., Fast Triangulation of Terrain Data through Unique Point Extraction, Korean Journal of Remote Sensing( KSRS), Vol. 19, No. 6, pp. 457-464, 2003. https://doi.org/10.7780/kjrs.2003.19.6.457
  7. Jonathan P. Stewart, Jianping Hu, Robert E. Kayen, Arthur J. Lembo Jr., Brian D. Collins, Craig A. Davis, Thomas D. O'Rourke, Use of Airborne and Terrestrial Lidar to Detect Ground Displacement Hazards to Water Systems, Journal of Surveying Engineering(ASCE), Vo. 135, Issue 3, pp. 113-124, 2009. https://doi.org/10.1061/(ASCE)0733-9453(2009)135:3(113)
  8. Karnieli, A., Kaufman, Y. J., Remer, L. and A. Wald, AFRI : Aerosol Free Vegetatioin Index, Remote Sensing of Environment, Vol. 77, pp. 10-21, 2001. https://doi.org/10.1016/S0034-4257(01)00190-0
  9. Kim, D. M., Park, J. K., Inclination Analysis of Structure using Terrestrial LiDAR Data, Journal of Next Generation Information Technology(AICIT), Vol. 4, No. 8, pp. 463-469, 2013.
  10. Kim, D. M., Kim, E. N., A Study on a Post-Processing Technique for MBES Data to Improve Seafloor Topography Modeling, Journal of Korea Spatial Information Society(KOFST), Vol. 19, No. 2, pp. 19-28, 2011.
  11. Kim, D. M., Establishment of Multi-Dimensional Ortho-Images with a Single Lens Reflex Digital Camera and the Multi-Image Connection Method, ICSMB 2014, pp. 15-16, 2014.
  12. Lee, S. K., Park, Y. S., Lee, G. S., Lee, J. Y., Lee, S. H., An Automatic Object Extraction Method Using Color Features Of Object And Background In Image, The Journal of Digital Policy & Management, Vol. 11, No. 12, pp. 459-465, 2013