Towards Efficient Implementation of an Octree for a Large 3D Point Cloud

Effects of LiDAR point density and landscape context on estimates of urban forest biomass

(2015) Kunwar K. Singh et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Octree-based region growing for point cloud segmentation

(2015) Anh-Vu Vo et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Empirical study of variation in lidar point density over different land covers

(2014) José Balsa-Barreiro et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

OctoMap: an efficient probabilistic 3D mapping framework based on octrees

(2013) Armin Hornung et al.   AUTONOMOUS ROBOTS

Automatic Segmentation of Lidar Data into Coplanar Point Clusters Using an Octree-Based Split-and-Merge Algorithm

(2013) Miao Wang et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

One billion points in the cloud – an octree for efficient processing of 3D laser scans

(2012) Jan Elseberg et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Airborne light detection and ranging (LiDAR) point density analysis

(2012) José Balsa-Barreiro   Scientific Research and Essays

Development of a hashing-based data structure for the fast retrieval of 3D terrestrial laser scanned data

(2011) Soohee Han et al.   COMPUTERS & GEOSCIENCES