Skip to navigation – Site map

HomeCross-sectionsTopics2007-2006A Selection of the best Articles ...Génération de descripteurs d’imag...

2007-2006
A Selection of the best Articles (SAGEO 2005)
385

Génération de descripteurs d’images satellitaires à THRS

Descriptors generation from very high spatial resolution satellite images
Erick Lopez-Ornelas and Florence Sèdes

Abstracts

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 this approach original in the context of processing remote sensing images.

Top of page

References

Electronic reference

Erick Lopez-Ornelas and Florence Sèdes, « Génération de descripteurs d’images satellitaires à THRS », Cybergeo: European Journal of Geography [Online], Topics, document 385, Online since 11 July 2007, connection on 23 March 2023. URL : http://journals.openedition.org/cybergeo/8212 ; DOI : https://doi.org/10.4000/cybergeo.8212

Top of page

About the authors

Erick Lopez-Ornelas

Universidad Autónoma Metropolitana - Cuajimalpa, Mexicoelopez@correo.cua.uam.mx

Florence Sèdes

IRIT, Institut de Recherche en Informatique de Toulouse, UPS-CNRS, 118 Route de Narbonne, 31062 Toulouse cedex 4, Francesedes@irit.fr

Top of page

Copyright

CC-BY-4.0

Creative Commons - Attribution 4.0 International - CC BY 4.0

https://creativecommons.org/licenses/by/4.0/

Top of page
Search OpenEdition Search

You will be redirected to OpenEdition Search