The generation of 3D tree models by the integration of multi-sensor data

Liang Chien Chen*, Tee-Ann Teo, Tsai Wei Chiang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Three-dimensional tree modeling is an important task in the management of forest ecosystems. The objective of this investigation is to reconstruct 3D tree models using LIDAR data and high resolution images. The proposed scheme comprises of three major steps: (1) data preprocessing, (2) vegetation detection, and (3) tree modeling. The data preprocessing includes spatial registration of the airborne LIDAR and high resolution images, derivation of the above ground surface from LIDAR data, and generation of a spectral index from high resolution images. In the vegetation detection, a region-based segmentation and knowledge-based classification are integrated to detect the tree regions. Afterwards, the watershed segmentation is selected to extract the tree crown and heights. In the last step, we use the tree height, tree crown and terrain information to build up the 3D tree models. The experimental results indicate that the accuracy of the extracted individual tree is better than 80%, while the accuracy of the determined tree heights is about 1m.

Original languageEnglish
Title of host publicationAdvances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings
Pages34-43
Number of pages10
DOIs
StatePublished - 1 Dec 2006
Event1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006 - Hsinchu, Taiwan
Duration: 10 Dec 200613 Dec 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4319 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006
CountryTaiwan
CityHsinchu
Period10/12/0613/12/06

Keywords

  • High resolution image
  • LIDAR
  • Tree model

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