Urban objects classification by spectral library: feasibility and applications

Abstract : Objects recognition in urban environment using multiband imagery is a difficult process, implying the use of elaborated and complex image processing methods, which are used to enhance the detection efficiency. The urban mosaics are characterized by multiple materials (e.g. manmade, urban vegetation, bare soil, transport infrastructure, etc.), which are combined together to form a complex patchwork. This study aims to take advantage of the multiband imagery, to assess the feasibility degree of the urban objects detection, and to explore some of the applications related to the multiband hyperspectral imagery classification
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https://hal.archives-ouvertes.fr/hal-01492072
Contributeur : Sébastien Gadal <>
Soumis le : vendredi 17 mars 2017 - 20:50:30
Dernière modification le : samedi 18 mars 2017 - 01:11:48

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  • HAL Id : hal-01492072, version 1

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Walid Ouerghemmi, Sébastien Gadal, Gintautas Mozgeris, Donatas Jonikavičius, Weber Christiane. Urban objects classification by spectral library: feasibility and applications. Devis Tuia; Vincent Mallet. JURSE 2017, Mar 2017, Dubai, United Arab Emirates. p23-27, <http://www.jurse2017.com/index.html>. <hal-01492072>

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