Volume XL-7/W4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W4, 17-21, 2015
https://doi.org/10.5194/isprsarchives-XL-7-W4-17-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W4, 17-21, 2015
https://doi.org/10.5194/isprsarchives-XL-7-W4-17-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  26 Jun 2015

26 Jun 2015

An automatic high precision registration method between large area aerial images and aerial light detection and ranging data

Q. Du1, D. Xie2, and Y. Sun1 Q. Du et al.
  • 1Chinese Academy of Surveying and Mapping (CASM), Beijing, China
  • 2Geological Exploration Technolgy Institute Of Jiangsu Province, Nanjing, China

Keywords: Aerial images, aerial light detection and ranging data, image matching point cloud, aerotriangulation, single image spatial resection, registration

Abstract. The integration of digital aerial photogrammetry and Light Detetion And Ranging (LiDAR) is an inevitable trend in Surveying and Mapping field. We calculate the external orientation elements of images which identical with LiDAR coordinate to realize automatic high precision registration between aerial images and LiDAR data. There are two ways to calculate orientation elements. One is single image spatial resection using image matching 3D points that registered to LiDAR. The other one is Position and Orientation System (POS) data supported aerotriangulation. The high precision registration points are selected as Ground Control Points (GCPs) instead of measuring GCPs manually during aerotriangulation. The registration experiments indicate that the method which registering aerial images and LiDAR points has a great advantage in higher automation and precision compare with manual registration.