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Neural network model for standard PCA and its variants applied to remote sensing

Author
CHITROUB, S1
[1] Signal Processing Laboratory, Electronics and Informatics Faculty, University of Sciences and Technology Houari Boumediene, PO Box 32, El-Alia, Bab-Ezzouar, 16111, Algiers, Algeria
Source

International journal of remote sensing (Print). 2005, Vol 26, Num 10, pp 2197-2218, 22 p ; Illustration , Table ; ref : 1 p.3/4

CODEN
IJSEDK
ISSN
0143-1161
Scientific domain
Agronomy, agriculture, phytopathology; Ecology; Geology; Geophysics; Oceanography
Publisher
Taylor and Francis, Abingdon
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Algorithme Analyse composante principale Bruit Coefficient corrélation Covariance Dimension Echantillon référence Erreur Hydrogène Imagerie LANDSAT Modèle Reconstitution Réseau neuronal Thematic Mapper Topologie Télédétection multispectrale Télédétection spatiale Valeur propre Algorithme apprentissage Automatisation Calcul automatique Radiomètre Thematic Mapper Algérie Afrique Afrique du Nord
Keyword (en)
algorithms principal components analysis noise correlation coefficient covariance dimensions standard samples errors hydrogen imagery Landsat models reconstruction neural networks Thematic Mapper topology multispectral remote sensing Space remote sensing eigenvalues Algeria Africa North Africa
Keyword (es)
Algoritmo Análisis componente principal Coeficiente correlación Dimensión Roca patrón Error Hidrógeno Imaginería Modelo Red neuronal Topología Teledetección multiespectral Teledetección espacial Valor propio Argelia Africa Africa del norte
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
16908906

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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