Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 975-979, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-975-2018
© 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, 975-979, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-975-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

INSTANTANEOUS COASTLINE EXTRACTION FROM LIDAR POINT CLOUD AND HIGH RESOLUTION REMOTE SENSING IMAGERY

Y. Li1, L. Zhoing1, Z. Lai2, and Z. Gan1 Y. Li et al.
  • 1ChangJiang Spatial Infomation Technology Engineering Co.Ltd , Wuhan 430010 , China
  • 2Faculty of Information Engineering , China University of Geosciences , Wu han 430074 , China

Keywords: coastline, image segmentation, LiDAR, region growing

Abstract. A new method was proposed for instantaneous waterline extraction in this paper, which combines point cloud geometry features and image spectral characteristics of the coastal zone. The proposed method consists of follow steps: Mean Shift algorithm is used to segment the coastal zone of high resolution remote sensing images into small regions containing semantic information;Region features are extracted by integrating LiDAR data and the surface area of the image; initial waterlines are extracted by α-shape algorithm; a region growing algorithm with is taking into coastline refinement, with a growth rule integrating the intensity and topography of LiDAR data; moothing the coastline. Experiments are conducted to demonstrate the efficiency of the proposed method.