Model-Based Analysis-Synthesis for Realistic Tree Reconstruction and Growth Simulation - CentraleSupélec Access content directly
Journal Articles IEEE Transactions on Geoscience and Remote Sensing Year : 2014

Model-Based Analysis-Synthesis for Realistic Tree Reconstruction and Growth Simulation

Abstract

Vegetation analysis and reconstruction of remote sensing data are challenging problems. Using architectural tree models combined with model inputs estimated from aerial image analysis, this paper presents an analysis-synthesis approach for urban vegetation detection, modeling, and reconstruction. Tree species, height, and crown size information are extracted by aerial image analysis. These variables serve for model inversion to retrieve plant age, climatic growth conditions, and competition with neighbors. Functional-structural individual-based tree models are used to reconstruct and visualize virtual trees and their time evolutions realistically in a 3-D viewer rendering the models with geographical coordinates in the reconstructed scene. Our main contributions are: 1) a novel approach for generating plant models in 3-D reconstructed scenes based on the analysis of the geometric properties of the data, and 2) a modeling workflow for the reconstruction and growth simulation of vegetation in urban or natural environments
Fichier principal
Vignette du fichier
TGRS_final.pdf (3.2 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00826023 , version 1 (25-05-2013)

Identifiers

Cite

Corina Iovan, Paul-Henry Cournède, Thomas Guyard, Benoît Bayol, Dider Boldo, et al.. Model-Based Analysis-Synthesis for Realistic Tree Reconstruction and Growth Simulation. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52 (2), pp.1438-1450. ⟨10.1109/TGRS.2013.2251467⟩. ⟨hal-00826023⟩
481 View
852 Download

Altmetric

Share

Gmail Facebook X LinkedIn More