Automatic seamline selection assisted by airborne LiDAR

doi:10.13474/j.cnki.11-2246.2020.0255

Abstract

Abstract: An automatic orthophoto seamline selection method assisted by LiDAR is proposed in this paper. The LiDAR point cloud is used to generate DSM and DEM, the difference between which is used to obtain the difference map to represent the true height of the object. The threshold is adaptively set to divide the difference map into different regions, and different weights are given to guide the automatic selection of the seamline based on Dijkstra algorithm. The experimental results demonstrate that the proposed method is robust to the selection of parameters and the final seamline can successfully bypass the obstacles.

Key words: LiDAR, DSM, DEM, difference map, image mosaic, threshold segmentation

CLC Number:

P237

LI Junping, DING Yazhou, FENG Fajie, CAI Ping, LIU Xinyi. Automatic seamline selection assisted by airborne LiDAR[J]. Bulletin of Surveying and Mapping, 2020, 0(8): 92-95,116.

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