SimTreeLS: Simulating aerial and terrestrial laser scans of trees (2020-11-24T00:00:00.000000Z)

TL;DR

An open source tool, SimTreeLS (Simulated Tree Laser Scans), for generating point clouds which simulate scanning with user-defined sensor, trajectory, tree shape and layout parameters, suggesting the simulated data is significantly more similar to real data than a sample-based control.

Authors

J. Underwood

2 papers

F. Westling

1 papers

M. Bryson

1 papers

TL;DR

Authors

References59 items

Replacing traditional light measurement with LiDAR based methods in orchards

Simulation of tree point cloud based on the ray-tracing algorithm and three-dimensional tree model

Graph-based methods for analyzing orchard tree structure using noisy point cloud data

A Cloud-Based Environment for Generating Yield Estimation Maps From Apple Orchards Using UAV Imagery and a Deep Learning Technique

Suitability of Airborne and Terrestrial Laser Scanning for Mapping Tree Crop Structural Metrics for Improved Orchard Management

Characterizing the Spatial Variations of Forest Sunlit and Shaded Components Using Discrete Aerial Lidar

Compatibility of Aerial and Terrestrial LiDAR for Quantifying Forest Structural Diversity

Deep learning based segmentation for automated training of apple trees on trellis wires

Deep Learning for 3D Point Clouds: A Survey

A Comprehensive Survey on Transfer Learning

Fruit detection in an apple orchard using a mobile terrestrial laser scanner

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing

Monitoring the structure of forest restoration plantations with a drone-lidar system

Transfer Learning Using Deep Neural Networks for Classification of Truck Body Types Based on Side-Fire Lidar Data

Automatic Generation of Synthetic LiDAR Point Clouds for 3-D Data Analysis

Training of Neural Networks with Automated Labeling of Simulated Sensor Data

Optimal Design of Plant Canopy Based on Light Interception: A Case Study With Loquat

Extracting Wood Point Cloud of Individual Trees Based on Geometric Features

Comparison of UAV LiDAR and Digital Aerial Photogrammetry Point Clouds for Estimating Forest Structural Attributes in Subtropical Planted Forests

Leaf and wood classification framework for terrestrial LiDAR point clouds

Development of deep learning architecture for automatic classification of outdoor mobile LiDAR data

Forest Tree Detection and Segmentation using High Resolution Airborne LiDAR

Spatial variability in commercial orange groves. Part 2: relating canopy geometry to soil attributes and historical yield

Filtering Stems and Branches from Terrestrial Laser Scanning Point Clouds Using Deep 3-D Fully Convolutional Networks

Iterative individual plant clustering in maize with assembled 2D LiDAR data

LIDAR and non-LIDAR-based canopy parameters to estimate the leaf area in fruit trees and vineyard

Light interception modelling using unstructured LiDAR data in avocado orchards

Mechatronic terrestrial LiDAR for canopy porosity and crown surface estimation

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Determining woody-to-total area ratio using terrestrial laser scanning (TLS)

Mapping almond orchard canopy volume, flowers, fruit and yield using lidar and vision sensors

Forest Inventory with Terrestrial LiDAR: A Comparison of Static and Hand-Held Mobile Laser Scanning

Terrestrial laser scanning in forest inventories

Canopy structure and light interception partitioning among shoots estimated from virtual trees: comparison between apple cultivars grown on different interstocks on the Chinese Loess Plateau

Improved Salient Feature-Based Approach for Automatically Separating Photosynthetic and Nonphotosynthetic Components Within Terrestrial Lidar Point Cloud Data of Forest Canopies

A Pipeline for Trunk Detection in Trellis Structured Apple Orchards

Light interception efficiency analysis based on three-dimensional peach canopy models

A geometric method for wood-leaf separation using terrestrial and simulated Lidar data

Orchard tree digitization for structural-geometrical modeling

Multi-view Convolutional Neural Networks for 3D Shape Recognition

Light interception efficiency of apple trees: A multiscale computational study based on MAppleT

3D ShapeNets: A deep representation for volumetric shapes

Zebedee: Design of a Spring-Mounted 3-D Range Sensor with Application to Mobile Mapping

A review of methods and applications of the geometric characterization of tree crops in agricultural activities

3D modeling of light interception in heterogeneous forest canopies using ground-based LiDAR data

Estimating leaf area distribution in savanna trees from terrestrial LiDAR measurements

Capturing tree crown formation through implicit surface reconstruction using airborne lidar data

The structural and radiative consistency of three-dimensional tree reconstructions from terrestrial lidar

V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure

Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)

Natural terrain classification using three‐dimensional ladar data for ground robot mobility

Creation and rendering of realistic trees

body types based on side-ﬁre lidar data

A model of macadamia with application to pruning in orchards

A model for deriving voxel-level tree leaf area density estimates from ground-based LiDAR

SIMLIDAR – Simulation of LIDAR performance in artificially simulated orchards

Use of Functional-Structural Plant Modelling in Horticulture

Comma and snark: generic c++ libraries and utilities for robotics

Arbaro—tree generation for povray

Field of Study

Journal Information

Name

Volume

Venue Information

Name

Type

URL

Alternate Names