点云
正确性
激光雷达
原始数据
正规化(语言学)
算法
遥感
边界(拓扑)
计算机科学
数学
人工智能
统计
地理
数学分析
作者
Emirhan Özdemir,Fevzi Karslı,Taşkın Kavzoğlu,Murat Bahadir,Abdullah Yagmahan
标识
DOI:10.1080/10106049.2021.1974104
摘要
This study proposes an automatic building outline regularization approach (ABORE) that produces two-dimensional orthogonal building boundaries from irregular building footprint polygons with building edge points using raw LiDAR point cloud data. The proposed approach was evaluated on the combinations of single, double, and multiple buildings from seven LiDAR datasets with different point density. The accuracy of the building edge geometries regularized by the ABORE method was compared with the reference data without requiring any additional data. Test results showed that the mean completeness (Cp), correctness (Cr), and quality (Q) values for single buildings were estimated as 98.96, 99.32, 98.30% and for multiple buildings as 99.55, 99.74, 99.29%, respectively. These results indicate superior performance (by about 5% F-score improvement) in comparison to state-of-the-art methods with a higher correctness rate in building boundary regularization. ABORE was also found effective in the delineation of complex buildings with many corners and short edges.
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