Building boundaries extaction from point clouds using dual-threshold Alpha Shapes

Yunfan Li, G. Gao, Bo Cao, L. Zhong, Yao Liu
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引用次数: 6

Abstract

Modern urban buildings have complex model structure, and the building boundary extraction from airborne LiDAR data is still a relatively difficult problem. This paper proposes a dual-threshold Alpha Shapes algorithm and contour simplification algorithm based on least squares to extract the initial building contour. Dual-threshold Alpha Shapes algorithm consists of four steps: (1) dual-threshold a-shape acquisition, (2) based on a simple ring breadth-first search query algorithm, (3) the corresponding path screening, (4) deriving a closed contour (4) a closed contour, (5) Least Squares contour simplification. Experiments are conducted to demonstrate the efficiency of the proposed method on two datasets.
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使用双阈值Alpha形状从点云中提取构建边界
现代城市建筑模型结构复杂,从机载激光雷达数据中提取建筑边界仍然是一个比较困难的问题。本文提出了一种双阈值Alpha形状算法和基于最小二乘的轮廓简化算法来提取初始建筑轮廓。双阈值Alpha形状算法包括四个步骤:(1)双阈值a形状获取,(2)基于简单环宽度优先搜索查询算法,(3)相应路径筛选,(4)导出封闭轮廓,(4)导出封闭轮廓,(5)最小二乘轮廓化简。实验证明了该方法在两个数据集上的有效性。
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