A Novel Feature Extraction Framework With Direction-Aware KNN for ALS Point Cloud Semantic Segmentation

In the field of remote sensing, 3-D point clouds provide precise environmental perception information. However, their nonuniformity and irregularity present significant processing challenges. Most current point cloud processing algorithms use the K-nearest neighbor (KNN) method to select neighboring...

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Bibliografische Detailangaben

Hauptverfasser:	Xianyu Wang, Ke Zhang, Yulin Wu, Shaohui Mei, Jingyu Wang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2025-01-01
Schriftenreihe:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Schlagworte:	Airborne laser scanning (ALS) point cloud direction-aware K-nearest neighbor (KNN) (DAKNN) semantic segmentation
Online-Zugang:	https://ieeexplore.ieee.org/document/11202695/
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