DOI: 10.1016/j.jag.2013.07.002
Scopus记录号: 2-s2.0-84897879307
论文题名: Object-oriented mapping of urban trees using random forestclassifiers
作者: Puissant A ; , Rougiera S ; , Stumpf A
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 26, 期: 1 起始页码: 235
结束页码: 245
语种: 英语
英文关键词: Feature selection
; Object based image analysis
; Random forest classifier
; Urban trees
; VHR satellite images
Scopus关键词: image analysis
; image classification
; satellite data
; satellite imagery
; spatial resolution
; tree
; urban area
; urban development
; urban forestry
; urban planning
; vegetation mapping
; Alsace
; Bas Rhin
; France
; Strasbourg
英文摘要: Since vegetation in urban areas delivers crucial ecological services as a support to human well-beingand to the urban population in general, its monitoring is a major issue for urban planners. Mapping andmonitoring the changes in urban green spaces are important tasks because of their functions such as themanagement of air, climate and water quality, the reduction of noise, the protection of species and thedevelopment of recreational activities. In this context, the objective of this work is to propose a methodol-ogy to inventory and map the urban tree spaces from a mono-temporal very high resolution (VHR) opticalimage using a Random Forest classifier in combination with object-oriented approaches. The method-ology is developed and its performance is evaluated on a dataset of the city of Strasbourg (France) fordifferent categories of built-up areas. The results indicate a good accuracy and a high robustness for theclassification of the green elements in terms of user and producer accuracies. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79671
Appears in Collections: 气候变化事实与影响
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作者单位: Laboratoire Image, Ville, Environnement, UMR 7362 CNRS, Université de Strasbourg, France; Institut de Physique du Globe de Strasbourg, UMR 7516 CNRS, Université de Strasbourg, France
Recommended Citation:
Puissant A,, Rougiera S,, Stumpf A. Object-oriented mapping of urban trees using random forestclassifiers[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,26(1)