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A hybrid framework for single tree detection from airborne laser scanning data: A case study in temperate mature coniferous forests in Ontario, Canada

Author
JUNJIE ZHANG1 ; GUNHO SOHN1 ; BREDIF, Mathieu2
[1] GeoICT Lab, Department of Earth and Space Science & Engineering, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada
[2] Université Paris Est, IGN, MATIS 73, avenue de Paris, 94165 Saint-Mandé, France
Source

ISPRS journal of photogrammetry and remote sensing. 2014, Vol 98, pp 44-57, 14 p ; ref : 1 p.1/4

ISSN
0924-2716
Scientific domain
Agronomy, agriculture, phytopathology; Ecology; Geology; Geophysics; Oceanography
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Energy minimization Forestry LiDAR Local maxima filtering MCMC Marker-controlled watershed segmentation Single tree detection Stochastic model
Keyword (fr)
Analyse Chaîne Markov Arbre Bassin versant Bâti Canopée Chevauchement Dynamique Détection Echantillonnage Energie Espèce introduite Estimation paramètre Etude cas Filtrage Fitness Forêt résineuse Houppier Modèle stochastique Monde Méthode Monte Carlo Méthode laser Optimisation Recuit Segmentation Traitement image Ontario Amérique du Nord Canada Est Canada
Keyword (en)
Markov chain analysis trees drainage basins frame structure Canopy(vegetation) thrust dynamics detection sampling energy Introduced species Parameter estimation case studies filtering Fitness Coniferous forest Tree crown stochastic models global Monte Carlo analysis laser methods optimization annealing segmentation image processing Ontario North America Eastern Canada Canada
Keyword (es)
Cuenca Dosel Dinámica Muestreo Energía Especie introducida Estimación parámetro Estudio caso Adecuación Bosque resinoso Copa Mundo Laser Optimización Ontario America del norte Canadá Este Canada
Classification
Pascal
001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01M Internal geophysics / 001E01M04 Applied geophysics

Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14A General aspects. Techniques / 002A14A03 Teledetection and vegetation maps

Discipline
Animal, vegetal and microbial ecology Earth sciences
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
29004200

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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