Automatic Extraction of urban vegetation structures from High Resolution Imagery and digital elevation models

Corina Iovan 1 Matthieu Cord 1 Didier Boldo
1 MALIRE - Machine Learning and Information Retrieval
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : This paper presents a method for automatic extraction and characterisation of vegetation structures (such as trees, shrubs, hedges or lawns) in high density urban areas. We present a hierarchical strategy to extract, analyze and delineate vegetation areas according to their height. Spectral indices are used to detect urban vegetation areas. We differentiate lawns from treed areas by computing a texture operator on the digital elevation model (DEM) corresponding to the vegetation areas previously detected. A robust region growing method based on the DEM is developed for an accurate delineation of tree crowns. We evaluate the accuracy of the tree crown delineation results to a reference manual delineation. Results obtained are discussed and the influential factors are put forward.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01336457
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Submitted on : Thursday, June 23, 2016 - 10:42:51 AM
Last modification on : Thursday, March 21, 2019 - 1:05:21 PM

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Corina Iovan, Matthieu Cord, Didier Boldo. Automatic Extraction of urban vegetation structures from High Resolution Imagery and digital elevation models. Urban Remote Sensing Joint Event, Apr 2007, Paris, France. pp.1-5, ⟨10.1109/URS.2007.371840⟩. ⟨hal-01336457⟩

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