Browse > Article

Development of Automatic Airborne Image Orthorectification Using GPS/INS and LIDAR Data  

Jang Jae-Dong (캐나다 Laval 대학교 Geomatics 학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.10, no.4, 2006 , pp. 693-699 More about this Journal
Abstract
Digital airborne image must be precisely orthorectified to become geographical information. For orthorectification of airborne images, GPS/INS (Global Positioning System/Inertial Navigation System) and LIDAR (LIght Detection And Ranging) elevation data were employed. In this study, 635 frame airborne images were produced and LIDAR data were converted to raster image for applying to image orthorectification. To derive images with constant brightness, flat field correction was applied to images. The airborne images were geometrically corrected by calculating internal orientation and external orientation using GPS/INS data and then orthorectified using LIDAR digital elevation model image. The precision of orthorectified images was validated by collecting 50 ground control points from arbitrary five images and LIDAR intensity image. As validation result, RMSE (Root Mean Square Error) was 0.387 as almost same as only two times of pixel spatial resolution. It is possible that this automatic orthorectification method of airborne image with higher precision is applied to airborne image industry.
Keywords
GPS/INS; airborne image; orthorectification; LIDAR; mosaicing;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Ghitter,G. S., W. W. Bowers, and S. E. Franklin, 1995. Discrimination of adelgiddamage on single balsam fir trees with aerial remote sensing data, International Journal of Remote Sensing, 16,2779-2794   DOI   ScienceOn
2 Cramer, M., D. Stallmann, and N. Haala, 1997. High precision georeferencing using GPS/INS and image matching, Proc. International Symposium on Kinematic Systems in Geodesy, Geomatics and Navigation, Banff, Alberta, Canada, June 1997,453-462
3 Jang, I.-D., V. Payan, A. A. Viau, and A. Devost, 2005. The use of airborne LIDAR and multispectral sensors for orchard tree inventory, International Journal of Remote Sensing(unpublished data)
4 Mostafa, M. M. R., and K. P. Schwarz, 2001. Digital image georeferencing from a multiple camera system by GPS/INS, ISPRS Journal of Photogramrnetry & Remote Sensing, 56, 1-12   DOI   ScienceOn
5 윤영보, 황태현, 조성익, 박종현,2004. Landsat 영상의 온라인 자동 기하보정 시스템, 한국지리정보학회지, 7(4),15-23
6 Koukoulas, S., and G. A. Blackburn 2005. Mapping individual tree location, height and species in broadleaved deciduous forest using airborne LIDAR and multi-spectral remotely sensed data, International Journal of Remote Sensing 26(3), 431-455   DOI   ScienceOn
7 Moskal, L. M., and S. E. Franklin, 2004. Relationship betweenairborne multispectral image texture and aspen Defoliation, International Journal of Remote Sensing, 25(14),2701-2711   DOI   ScienceOn
8 Nguyen, A. T., Stow, D. A., Hope, A. S. and C. Benkelman, 1996. In: Second International Airborne Remote Sensing Conference and Exhibition, San Francisco, CA, USA, A simple method for vignette correction of airborne digital camera data 3, 102-111
9 Schwarz, K. P., M. A. Chapman, M. E. Cannon, and P. Gong, 1993. An Integrated INS/GPS approach to the georeferencing of remotely sensed data, Photogrammetric engineering & Remote sensing, 59( 11), 1667-1674