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A fuzzy local neighbourhood-attraction-based information c-means clustering algorithm for very high spatial resolution imagery classification

Author
NANSHAN ZHENG1 ; HUA ZHANG1 ; JINGJING FAN1 ; HONGJIE GUAN1
[1] School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, Jiangsu, China
Source

Remote sensing letters (Print). 2014, Vol 5, Num 7-9, pp 843-852, 10 p ; ref : 3/4 p

ISSN
2150-704X
Scientific domain
Agronomy, agriculture, phytopathology; Ecology; Geophysics; Climatology, meteorology; Oceanography
Publisher
Taylor & Francis, Abingdon
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Algorithme Bruit Classification Etude expérimentale Imagerie Méthodologie Performance Pixel Précision Résolution spatiale Télédétection spatiale
Keyword (en)
algorithms noise classification experimental studies imagery methodology performances Pixel accuracy spatial resolution Space remote sensing
Keyword (es)
Algoritmo Clasificación Imaginería Metodología Pixel Precisión Teledetección espacial
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
29037662

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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