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Poster communications

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 aim 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. Abstract
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Submitted on : Friday, March 17, 2017 - 8:38:43 PM
Last modification on : Friday, August 5, 2022 - 2:38:11 PM
Long-term archiving on: : Sunday, June 18, 2017 - 1:53:50 PM


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  • HAL Id : hal-01492070, version 1


Walid Ouerghemmi, Sébastien Gadal, Gintautas Mozgeris, Donatas Jonikavičius, Christiane Weber. Urban objects classification by spectral library: feasibility and applications. JURSE 2017, Mar 2017, Dubai, United Arab Emirates. 2017. ⟨hal-01492070⟩



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