Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2307-2313, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2307-2018
© 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, 2307-2313, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2307-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

A LANDMARK EXTRACTION METHOD ASSOCIATED WITH GEOMETRIC FEATURES AND LOCATION DISTRIBUTION

W. Zhang, J. Li, Y. Wang, Y. Xiao, P. Liu, and S. Zhang W. Zhang et al.
  • Institute of land and Resources Engineering, Kunming University of Science and Technology, Kunming, China

Keywords: Landmark Extraction, Geometric Features, Crevice, Horizon Segmentation, Voronoi Diagram

Abstract. Landmark plays an important role in spatial cognition and spatial knowledge organization. Significance measuring model is the main method of landmark extraction. It is difficult to take account of the spatial distribution pattern of landmarks because that the significance of landmark is built in one-dimensional space. In this paper, we start with the geometric features of the ground object, an extraction method based on the target height, target gap and field of view is proposed. According to the influence region of Voronoi Diagram, the description of target gap is established to the geometric representation of the distribution of adjacent targets. Then, segmentation process of the visual domain of Voronoi K order adjacent is given to set up target view under the multi view; finally, through three kinds of weighted geometric features, the landmarks are identified. Comparative experiments show that this method has a certain coincidence degree with the results of traditional significance measuring model, which verifies the effectiveness and reliability of the method and reduces the complexity of landmark extraction process without losing the reference value of landmark.