Classification neuronale des textures de milieux terrestres naturels en télédétection radar

The result of received radar signal is granularity in the image - the so-called "speckle" effect - which makes it impossible to use classical image processing algorithms. We have sought to define texture characteristics. Some filtering methods can modify the spatial distribution of pixels...

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Autores principales:	R. Jeansoulin, Ph. Mainguenaud
Formato:	article
Lenguaje:	DE EN FR IT PT
Publicado:	Unité Mixte de Recherche 8504 Géographie-cités 2000
Materias:	remote sensing Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/cb9b6dfeaf8247ecaf2709faceec4aab
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id	oai:doaj.org-article:cb9b6dfeaf8247ecaf2709faceec4aab
record_format	dspace
spelling	oai:doaj.org-article:cb9b6dfeaf8247ecaf2709faceec4aab2021-12-02T11:10:24ZClassification neuronale des textures de milieux terrestres naturels en télédétection radar1278-336610.4000/cybergeo.696https://doaj.org/article/cb9b6dfeaf8247ecaf2709faceec4aab2000-04-01T00:00:00Zhttp://journals.openedition.org/cybergeo/696https://doaj.org/toc/1278-3366The result of received radar signal is granularity in the image - the so-called "speckle" effect - which makes it impossible to use classical image processing algorithms. We have sought to define texture characteristics. Some filtering methods can modify the spatial distribution of pixels and can create of a great deal of textural information to help classification of different classes.R. JeansoulinPh. MainguenaudUnité Mixte de Recherche 8504 Géographie-citésarticleremote sensingGeography (General)G1-922DEENFRITPTCybergeo (2000)
institution	DOAJ
collection	DOAJ
language	DE EN FR IT PT
topic	remote sensing Geography (General) G1-922
spellingShingle	remote sensing Geography (General) G1-922 R. Jeansoulin Ph. Mainguenaud Classification neuronale des textures de milieux terrestres naturels en télédétection radar
description	The result of received radar signal is granularity in the image - the so-called "speckle" effect - which makes it impossible to use classical image processing algorithms. We have sought to define texture characteristics. Some filtering methods can modify the spatial distribution of pixels and can create of a great deal of textural information to help classification of different classes.
format	article
author	R. Jeansoulin Ph. Mainguenaud
author_facet	R. Jeansoulin Ph. Mainguenaud
author_sort	R. Jeansoulin
title	Classification neuronale des textures de milieux terrestres naturels en télédétection radar
title_short	Classification neuronale des textures de milieux terrestres naturels en télédétection radar
title_full	Classification neuronale des textures de milieux terrestres naturels en télédétection radar
title_fullStr	Classification neuronale des textures de milieux terrestres naturels en télédétection radar
title_full_unstemmed	Classification neuronale des textures de milieux terrestres naturels en télédétection radar
title_sort	classification neuronale des textures de milieux terrestres naturels en télédétection radar
publisher	Unité Mixte de Recherche 8504 Géographie-cités
publishDate	2000
url	https://doaj.org/article/cb9b6dfeaf8247ecaf2709faceec4aab
work_keys_str_mv	AT rjeansoulin classificationneuronaledestexturesdemilieuxterrestresnaturelsenteledetectionradar AT phmainguenaud classificationneuronaledestexturesdemilieuxterrestresnaturelsenteledetectionradar
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Classification neuronale des textures de milieux terrestres naturels en télédétection radar

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