Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

You searched for subject:(individual tree modelling). One record found.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Delft University of Technology

1. Du, Shenglan (author). Accurate, Detailed and Automatic Tree Modelling from Point Clouds.

Degree: 2019, Delft University of Technology

Trees are of great significance throughout the world, both in urban scenes and in natural environments. Models of trees can be widely applied in various fields, for instance, landscape design, geo-simulation, environment modelling, and forestry inventories. Recently, laser scanning technology has been rapidly developed, making it possible to effectively acquire geometric attributes of trees and achieve accurate 3-dimensional tree modelling. Existing studies on tree modelling from laser scanning data are vast. Nevertheless, some works don’t ensure sufficient modelling accuracy, while some other works are mainly rule-based and therefore highly depend on user interactions. In this thesis, we propose a novel method to accurately and automatically reconstruct tree branches from laser scanned points. We first employ the Minimum Spanning Tree (MST) algorithm to extract an initial tree skeleton over the single tree point cloud, then simplify the skeleton through iterative removal of redundant components. A global-optimization approach is performed to fit a sequence of cylinders to approximate the geometry of the tree branches. The results show that our approach is adaptable to various trees with different data qualities. We also demonstrate both the topological fidelity and geometrical accuracy of our approach without significant user interactions. The resulted tree models can be further applied in the precise estimation of tree attributes, urban landscape visualization, etc.

Geomatics

Advisors/Committee Members: Nan, Liangliang (mentor), Lindenbergh, Roderik (mentor), Spaans, Marjolein (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: laser scanning; point cloud; individual tree modelling

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Du, S. (. (2019). Accurate, Detailed and Automatic Tree Modelling from Point Clouds. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:675ee438-3dc9-43c8-a7a7-f3b8807c583f

Chicago Manual of Style (16th Edition):

Du, Shenglan (author). “Accurate, Detailed and Automatic Tree Modelling from Point Clouds.” 2019. Masters Thesis, Delft University of Technology. Accessed February 28, 2021. http://resolver.tudelft.nl/uuid:675ee438-3dc9-43c8-a7a7-f3b8807c583f.

MLA Handbook (7th Edition):

Du, Shenglan (author). “Accurate, Detailed and Automatic Tree Modelling from Point Clouds.” 2019. Web. 28 Feb 2021.

Vancouver:

Du S(. Accurate, Detailed and Automatic Tree Modelling from Point Clouds. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Feb 28]. Available from: http://resolver.tudelft.nl/uuid:675ee438-3dc9-43c8-a7a7-f3b8807c583f.

Council of Science Editors:

Du S(. Accurate, Detailed and Automatic Tree Modelling from Point Clouds. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:675ee438-3dc9-43c8-a7a7-f3b8807c583f

.