Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning
Fuente:
arXiv
Saved in:
| Main Authors: | Xiang, Binbin, Wielgosz, Maciej, Kontogianni, Theodora, Peters, Torben, Puliti, Stefano, Astrup, Rasmus, Schindler, Konrad |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data
by: Wielgosz, Maciej, et al.
Published: (2024)
by: Wielgosz, Maciej, et al.
Published: (2024)
ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds
by: Xiang, Binbin, et al.
Published: (2025)
by: Xiang, Binbin, et al.
Published: (2025)
BranchPoseNet: Characterizing tree branching with a deep learning-based pose estimation approach
by: Puliti, Stefano, et al.
Published: (2024)
by: Puliti, Stefano, et al.
Published: (2024)
Interactive4D: Interactive 4D LiDAR Segmentation
by: Fradlin, Ilya, et al.
Published: (2024)
by: Fradlin, Ilya, et al.
Published: (2024)
Unsupervised deep learning for semantic segmentation of multispectral LiDAR forest point clouds
by: Ruoppa, Lassi, et al.
Published: (2025)
by: Ruoppa, Lassi, et al.
Published: (2025)
Is Continual Learning Ready for Real-world Challenges?
by: Kontogianni, Theodora, et al.
Published: (2024)
by: Kontogianni, Theodora, et al.
Published: (2024)
TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds
by: Henrich, Jonathan, et al.
Published: (2023)
by: Henrich, Jonathan, et al.
Published: (2023)
Need for Speed: Zero-Shot Depth Completion with Single-Step Diffusion
by: Gregorek, Jakub, et al.
Published: (2026)
by: Gregorek, Jakub, et al.
Published: (2026)
Dynamic LiDAR Re-simulation using Compositional Neural Fields
by: Wu, Hanfeng, et al.
Published: (2023)
by: Wu, Hanfeng, et al.
Published: (2023)
Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds
by: Liu, Yujia, et al.
Published: (2024)
by: Liu, Yujia, et al.
Published: (2024)
Robust retrieval of forest canopy structural attributes using multi‐platform airborne LiDAR
by: Beibei Zhang, et al.
Published: (2024)
by: Beibei Zhang, et al.
Published: (2024)
Aboveground biomass estimation of an old‐growth mangrove forest using airborne LiDAR in the Philippines
by: Mohammad Shamim Hasan Mandal, et al.
Published: (2024)
by: Mohammad Shamim Hasan Mandal, et al.
Published: (2024)
End-to-End LiDAR optimization for 3D point cloud registration
by: Katyan, Siddhant, et al.
Published: (2026)
by: Katyan, Siddhant, et al.
Published: (2026)
Models to support forest inventory and small area estimation using sparsely sampled LiDAR: A case study involving G-LiHT LiDAR in Tanana, Alaska
by: Finley, Andrew O., et al.
Published: (2023)
by: Finley, Andrew O., et al.
Published: (2023)
Terrestrial, UAV-borne, and airborne laser scanning point clouds of central European forest plots, Germany, with extracted individual trees and manual forest inventory measurements
by: Weiser, Hannah, et al.
Published: (2022)
by: Weiser, Hannah, et al.
Published: (2022)
Terrestrial, UAV-borne, and airborne laser scanning point clouds of central European forest plots, Germany, with extracted individual trees and manual forest inventory measurements
by: Weiser, Hannah, et al.
Published: (2021)
by: Weiser, Hannah, et al.
Published: (2021)
LPRnet: A self-supervised registration network for LiDAR and photogrammetric point clouds
by: Wang, Chen, et al.
Published: (2025)
by: Wang, Chen, et al.
Published: (2025)
AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation
by: Yue, Yuanwen, et al.
Published: (2023)
by: Yue, Yuanwen, et al.
Published: (2023)
lidar_water_filter.py — Separate land and water points in coastal LiDAR point clouds
by: B, Britt
Published: (2025)
by: B, Britt
Published: (2025)
Navigating effective tropical forest restoration: airborne LiDAR‐based site suitability assessment for enrichment planting
by: Keiko Ioki, et al.
Published: (2025)
by: Keiko Ioki, et al.
Published: (2025)
A multi-platform LiDAR dataset for standardized forest inventory measurement at long term ecological monitoring sites
by: Chang, Michael R., et al.
Published: (2026)
by: Chang, Michael R., et al.
Published: (2026)
Integrating forest inventory and LiDAR observations to uncover the role of plant traits on cooling and humidifying effects in urban area
by: Xiaoling Wang, et al.
Published: (2025)
by: Xiaoling Wang, et al.
Published: (2025)
DenserRadar: A 4D millimeter-wave radar point cloud detector based on dense LiDAR point clouds
by: Han, Zeyu, et al.
Published: (2024)
by: Han, Zeyu, et al.
Published: (2024)
TexLiDAR: Automated Text Understanding for Panoramic LiDAR Data
by: Cohen, Naor, et al.
Published: (2025)
by: Cohen, Naor, et al.
Published: (2025)
LiDAR ‐derived forest inventory data to map and quantify ecologically important large trees across large spatial extents
by: Douglas G. Pitt, et al.
Published: (2026)
by: Douglas G. Pitt, et al.
Published: (2026)
A new method for voxel‐based modelling of three‐dimensional forest scenes with integration of terrestrial and airborne LiDAR data
by: Wenkai Li, et al.
Published: (2024)
by: Wenkai Li, et al.
Published: (2024)
LiDAR-Event Stereo Fusion with Hallucinations
by: Bartolomei, Luca, et al.
Published: (2024)
by: Bartolomei, Luca, et al.
Published: (2024)
3D forest semantic segmentation using multispectral LiDAR and 3D deep learning
by: Takhtkeshha, Narges, et al.
Published: (2025)
by: Takhtkeshha, Narges, et al.
Published: (2025)
Temperate forests of high conservation value are successfully identified by satellite and LiDAR data fusion
by: Jakob J. Assmann, et al.
Published: (2025)
by: Jakob J. Assmann, et al.
Published: (2025)
RLCNet: An end-to-end deep learning framework for simultaneous online calibration of LiDAR, RADAR, and Camera
by: Cholakkal, Hafeez Husain, et al.
Published: (2025)
by: Cholakkal, Hafeez Husain, et al.
Published: (2025)
Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library
by: Cai, Xinyu, et al.
Published: (2022)
by: Cai, Xinyu, et al.
Published: (2022)
LiDAR Based Semantic Perception for Forklifts in Outdoor Environments
by: Serfling, Benjamin, et al.
Published: (2025)
by: Serfling, Benjamin, et al.
Published: (2025)
LiDAR Applications in Archaeology: A Systematic Review
by: Giacomo Vinci, et al.
Published: (2024)
by: Giacomo Vinci, et al.
Published: (2024)
LiFT: Lightweight, FPGA-tailored 3D object detection based on LiDAR data
by: Lis, Konrad, et al.
Published: (2025)
by: Lis, Konrad, et al.
Published: (2025)
TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation
by: Kalischek, Nikolai, et al.
Published: (2022)
by: Kalischek, Nikolai, et al.
Published: (2022)
AGBD: A Global-scale Biomass Dataset
by: Sialelli, Ghjulia, et al.
Published: (2024)
by: Sialelli, Ghjulia, et al.
Published: (2024)
LiDAR-HMR: 3D Human Mesh Recovery from LiDAR
by: Fan, Bohao, et al.
Published: (2023)
by: Fan, Bohao, et al.
Published: (2023)
LiDAR-GS++:Improving LiDAR Gaussian Reconstruction via Diffusion Priors
by: Chen, Qifeng, et al.
Published: (2025)
by: Chen, Qifeng, et al.
Published: (2025)
Multi-LiCa: A Motion and Targetless Multi LiDAR-to-LiDAR Calibration Framework
by: Kulmer, Dominik, et al.
Published: (2025)
by: Kulmer, Dominik, et al.
Published: (2025)
MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity
by: Vilella-Cantos, Judith, et al.
Published: (2025)
by: Vilella-Cantos, Judith, et al.
Published: (2025)
Similar Items
-
SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data
by: Wielgosz, Maciej, et al.
Published: (2024) -
ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds
by: Xiang, Binbin, et al.
Published: (2025) -
BranchPoseNet: Characterizing tree branching with a deep learning-based pose estimation approach
by: Puliti, Stefano, et al.
Published: (2024) -
Interactive4D: Interactive 4D LiDAR Segmentation
by: Fradlin, Ilya, et al.
Published: (2024) -
Unsupervised deep learning for semantic segmentation of multispectral LiDAR forest point clouds
by: Ruoppa, Lassi, et al.
Published: (2025)