Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 909-913, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-909-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 909-913, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-909-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

A METHOD FOR THE SEAMLINES NETWORK AUTOMATIC SELECTION BASED ON BUILDING VECTOR

P. Li1,3, Y. Dong2, Y. Hu1,3, X. Li1,3, and P. Tan1,3 P. Li et al.
  • 1Chongqing Geomatics Centre, Chongqing China
  • 2Chongqing Centre for Productivity Development, Chongqing China
  • 3Chongqing Remote Sensing Centre, Chongqing China

Keywords: Building Vector, Orthoimage Mosaicking, Seamlines Network, Automatic Selection

Abstract. In order to improve the efficiency of large scale orthophoto production of city, this paper presents a method for automatic selection of seamlines network in large scale orthophoto based on the buildings’ vector. Firstly, a simple model of the building is built by combining building’s vector, height and DEM, and the imaging area of the building on single DOM is obtained. Then, the initial Voronoi network of the measurement area is automatically generated based on the positions of the bottom of all images. Finally, the final seamlines network is obtained by optimizing all nodes and seamlines in the network automatically based on the imaging areas of the buildings. The experimental results show that the proposed method can not only get around the building seamlines network quickly, but also remain the Voronoi network’ characteristics of projection distortion minimum theory, which can solve the problem of automatic selection of orthophoto seamlines network in image mosaicking effectively.