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Journal ArticleDOI

Tree modelling from mobile laser scanning data-sets

TLDR
The workflow reduces the point cloud by means of a step-by-step process, which eases the handling of the massive MLS data-sets and proves the robustness of the data reduction method and the tree modelling approach.
Abstract
In recent times mobile laser scanning (MLS) has been used to acquire massive 3D point clouds in urban areas and along road corridors for the collection of detailed data for 3D city modelling, building facade reconstruction and capture of vegetation and road features for inventories. The objectives of this paper are the extraction of tree features from such data-sets and the modelling of trees for the purpose of visualisation in 3D city models. After the detection of high vegetation the point cloud is reduced using a 3D alpha shape approach. Then the required model parameters such as crown and stem height, crown and stem diameter, and crown shape are derived and the trees are modelled individually in a realistic manner. The tree model so generated correctly represents the overall appearance of the tree. However, the inner structure such as the branching of the tree crown is parameterised. The workflow reduces the point cloud by means of a step-by-step process, which eases the handling of the massive MLS data-sets. The thinning using 3D alpha shapes reduces the amount of data to be processed by about 95%. It is shown that the model parameters are not influenced by the thinning procedure employed. This proves the robustness of the data reduction method and the tree modelling approach.

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Citations
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Journal ArticleDOI

Recognizing basic structures from mobile laser scanning data for road inventory studies

TL;DR: In this article, a framework for structure recognition from mobile laser scanned point clouds is presented, which starts with an initial rough classification into three larger categories: ground surface, objects on ground, and objects off ground.
Journal ArticleDOI

SimpleTree —An Efficient Open Source Tool to Build Tree Models from TLS Clouds

TL;DR: An open source tool, capable of modelling highly accurate cylindrical tree models from terrestrial laser scan point clouds, is presented and evaluated and a global statistical improvement of derived cylinder radii is presented as well as an efficient optimization approach to automatically improve user given input parameters.
Journal ArticleDOI

A Voxel-Based Method for Automated Identification and Morphological Parameters Estimation of Individual Street Trees from Mobile Laser Scanning Data

TL;DR: The method provides an effective tool for extracting various morphological parameters for individual street trees from MLS point cloud data and the completeness and correctness of the method for street tree detection are over 98%.
Journal ArticleDOI

Urban vegetation detection using radiometrically calibrated small-footprint full-waveform airborne LiDAR data

TL;DR: A new GIS workflow for urban vegetation mapping from high-density (50 pts./m2) full-waveform airborne LiDAR data is introduced, combining the advantages of both raster and point cloud based analysis.
Journal ArticleDOI

Detection, segmentation and classification of 3D urban objects using mathematical morphology and supervised learning

TL;DR: Quantitative results prove that the automatic and robust approach to detect, segment and classify urban objects from 3D point clouds not only provides a good performance but is also faster than other works reported in the literature.
References
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Proceedings ArticleDOI

Three-dimensional alpha shapes

TL;DR: This article introduces the formal notion of the family of α-shapes of a finite point set in R, a well-defined polytope, derived from the Delaunay triangulation of the point set, with a parameter α ε R controlling the desired level of detail.
Journal ArticleDOI

Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques

TL;DR: This article surveys techniques developed in civil engineering and computer science that can be utilized to automate the process of creating as-built BIMs and outlines the main methods used by these algorithms for representing knowledge about shape, identity, and relationships.
Book

Airborne and Terrestrial Laser Scanning

TL;DR: Airborne and Terrestrial Laser Scanning has been awarded the Karl Kraus Medal by the ISPRS and written by a team of international experts, this book provides a comprehensive overview of the major applications of airborne and terrestrial laser scanning.
Journal Article

Automatic Reconstruction of As-Built Building Information Models from Laser-Scanned Point Clouds: A Review of Related Techniques | NIST

TL;DR: A survey of state-of-the-art methods for automated as-built BIM creation can be found in this article, where the main methods used by these algorithms for representing knowledge about shape, identity, and relationships.
Proceedings ArticleDOI

Creation and rendering of realistic trees

TL;DR: This work presents a model to create and render trees and explains a method to seamlessly degrade the tree geometry at long ranges to optimize the drawing of large quantities of trees in forested areas.
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