Robust 3-D Plane Segmentation From Airborne Point Clouds Based on <italic>Quasi-A-Contrario</italic> Theory

Robust 3-D Plane Segmentation From Airborne Point Clouds Based on <italic>Quasi-A-Contrario</italic> Theory

Three-dimensional (3-D) plane segmentation has been and continues to be a challenge in 3-D point cloud processing. The current methods typically focus on the planar subsets separation but ignore the requirement of the precise plane fitting. We propose a <italic>quasi-a-contrario</italic>...

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Bibliographic Details
Main Authors: Xianzhang Zhu, Xinyi Liu, Yongjun Zhang, Yi Wan, Yansong Duan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
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airborne point cloud
number of false alarms (NFA)
supervoxel segmentation
three-dimensional (3-D) plane segmentation
Online Access:https://ieeexplore.ieee.org/document/9468912/

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https://ieeexplore.ieee.org/document/9468912/

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