Génération de descripteurs d’images satellitaires à THRS

An approach of self-adapting morphological segmentation using new type of images associated to segmentation enables the exploitation of the extracted data, in order to collect, to model and to homogenize them within descriptors. The use of this information available on the objects relies on spatial...

Full description

Bibliographic Details
Main Authors: Erick Lopez-Ornelas, Florence Sèdes
Format: Article
Language:deu
Published: Unité Mixte de Recherche 8504 Géographie-cités 2007-07-01
Series:Cybergeo
Subjects:
Online Access:http://journals.openedition.org/cybergeo/8212
id doaj-22b8524760114fb8a94301ae567714ed
record_format Article
spelling doaj-22b8524760114fb8a94301ae567714ed2020-11-25T01:15:26ZdeuUnité Mixte de Recherche 8504 Géographie-citésCybergeo1278-33662007-07-0110.4000/cybergeo.8212Génération de descripteurs d’images satellitaires à THRSErick Lopez-OrnelasFlorence SèdesAn approach of self-adapting morphological segmentation using new type of images associated to segmentation enables the exploitation of the extracted data, in order to collect, to model and to homogenize them within descriptors. The use of this information available on the objects relies on spatial relationships, among others, in order to describe the relations between the objects, and their characteristics. It is the modeling and the generation of descriptors which makes original this approach in the context of processing remote sensing images.http://journals.openedition.org/cybergeo/8212descriptorselicitinghigh resolution imagesmorphological segmentation
collection DOAJ
language deu
format Article
sources DOAJ
author Erick Lopez-Ornelas
Florence Sèdes
spellingShingle Erick Lopez-Ornelas
Florence Sèdes
Génération de descripteurs d’images satellitaires à THRS
Cybergeo
descriptors
eliciting
high resolution images
morphological segmentation
author_facet Erick Lopez-Ornelas
Florence Sèdes
author_sort Erick Lopez-Ornelas
title Génération de descripteurs d’images satellitaires à THRS
title_short Génération de descripteurs d’images satellitaires à THRS
title_full Génération de descripteurs d’images satellitaires à THRS
title_fullStr Génération de descripteurs d’images satellitaires à THRS
title_full_unstemmed Génération de descripteurs d’images satellitaires à THRS
title_sort génération de descripteurs d’images satellitaires à thrs
publisher Unité Mixte de Recherche 8504 Géographie-cités
series Cybergeo
issn 1278-3366
publishDate 2007-07-01
description An approach of self-adapting morphological segmentation using new type of images associated to segmentation enables the exploitation of the extracted data, in order to collect, to model and to homogenize them within descriptors. The use of this information available on the objects relies on spatial relationships, among others, in order to describe the relations between the objects, and their characteristics. It is the modeling and the generation of descriptors which makes original this approach in the context of processing remote sensing images.
topic descriptors
eliciting
high resolution images
morphological segmentation
url http://journals.openedition.org/cybergeo/8212
work_keys_str_mv AT ericklopezornelas generationdedescripteursdimagessatellitairesathrs
AT florencesedes generationdedescripteursdimagessatellitairesathrs
_version_ 1725153252720246784