Published March 6, 2017
| Version v1
Publication
Urban objects classification by spectral library: feasibility and applications
- Others:
- Centre National de la Recherche Scientifique (CNRS)
- Études des Structures, des Processus d'Adaptation et des Changements de l'Espace (ESPACE) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)
- Aix Marseille Université (AMU)
- Aleksandras Stulginskis University
- Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS)
- Prashanth Reddy Marpu
- Hussein Abdulmuttalib
- ANR-14-CE22-0016,HYEP,Imagerie hyperspectrale pour la planification urbaine environnementale(2014)
Description
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
Abstract
International audience
Additional details
- URL
- https://hal.science/hal-01492070
- URN
- urn:oai:HAL:hal-01492070v1
- Origin repository
- UNICA