Automated forest inventory: analysis of high-density airborne LiDAR
point clouds with 3D deep learning

Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning

22 December 2023

Maciej Wielgosz

Theodora Kontogianni

Konrad Schindler

Papers citing "Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning"

7 / 7 papers shown

Title
Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms Josef Taher Eric Hyyppä Matti Hyyppä Klaara Salolahti Xiaowei Yu ... Roope Näsi H. Hyyti Siiri Pyykkönen Peilun Hu Juha Hyyppa 19 0 0 19 Apr 2025
Manual Labelling Artificially Inflates Deep Learning-Based Segmentation Performance on RGB Images of Closed Canopy: Validation Using TLS Matthew J. Allen H. Owen S. Grieve E. Lines 53 0 0 18 Mar 2025
SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data Maciej Wielgosz Stefano Puliti Binbin Xiang Konrad Schindler R. Astrup 3DPC 21 13 0 28 Jan 2024
Point2Tree(P2T) -- framework for parameter tuning of semantic and instance segmentation used with mobile laser scanning data in coniferous forest Maciej Wielgosz Stefano Puliti P. Wilkes R. Astrup 3DPC 16 17 0 04 May 2023
A Review of Panoptic Segmentation for Mobile Mapping Point Clouds Binbin Xiang Yuanwen Yue T. Peters Konrad Schindler 3DPC 9 7 0 27 Apr 2023
Mix3D: Out-of-Context Data Augmentation for 3D Scenes Alexey Nekrasov Jonas Schult Or Litany Bastian Leibe Francis Engelmann 3DPC 142 154 0 05 Oct 2021
Hierarchical Aggregation for 3D Instance Segmentation Shaoyu Chen Jiemin Fang Qian Zhang Wenyu Liu Xinggang Wang 3DPC 47 162 0 05 Aug 2021