A Stochastic Geometry Method for Pylon Reconstruction from Airborne LiDAR Data

A Stochastic Geometry Method for Pylon Reconstruction from Airborne LiDAR Data

Object detection and reconstruction from remotely sensed data are active research topic in photogrammetric and remote sensing communities. Power engineering device monitoring by detecting key objects is important for power safety. In this paper, we introduce a novel method for the reconstruction of...

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Bibliographic Details
Main Authors: Bo Guo, Xianfeng Huang, Qingquan Li, Fan Zhang, Jiasong Zhu, Chisheng Wang
Format: Article
Language:English
Published: MDPI AG 2016-03-01
Series:Remote Sensing
Subjects:
3D reconstruction
pylon
point cloud
stochastic models
Monte Carlo simulations
Online Access:http://www.mdpi.com/2072-4292/8/3/243

Internet

http://www.mdpi.com/2072-4292/8/3/243

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