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Segmentation-Based MAP Despeckling of SAR Images in the Undecimated Wavelet Domain

Author
BIANCHI, Tiziano1 ; ARGENTI, Fabrizio1 ; ALPARONE, Luciano1
[1] Dipartimento di Elettronica e Telecomunicazioni, Università di Firenze, 50139 Firenze, Italy
Source

IEEE transactions on geoscience and remote sensing. 2008, Vol 46, Num 9, pp 2728-2742, 15 p ; ref : 41 ref

CODEN
IGRSD2
ISSN
0196-2892
Scientific domain
Agronomy, agriculture, phytopathology; Ecology; Geology; Geophysics; Telecommunications
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Despeckling generalized Gaussian (GG) modeling image segmentation synthetic aperture radar (SAR) undecimated wavelet decomposition
Keyword (fr)
Algorithme Carte Classification Décomposition Energie Filtrage Fonction densité probabilité Hétérogénéité Modèle Ondelette Radar ouverture synthétique Segmentation Texture Traitement image Télédétection Décomposition ondelette Radar antenne synthétique Radar synthèse ouverture SAR Speckle
Keyword (en)
algorithms maps classification decomposition energy filtering probability density function heterogeneity models wavelet Synthetic aperture radar segmentation textures image processing remote sensing
Keyword (es)
Algoritmo Mapa Clasificación Energía Heterogeneidad Modelo Textura Detección a distancia
Classification
Pascal
001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01M Internal geophysics / 001E01M04 Applied geophysics

Discipline
Earth sciences
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20612203

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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