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Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction

Author
HARVEY, Neal R1 ; THEILER, James1 ; BRUMBY, Steven P1 ; PERKINS, Simon1 ; SZYMANSKI, John J1 ; BLOCH, Jeffrey J1 ; PORTER, Reid B1 ; GALASSI, Mark1 ; YOUNG, A. Cody1
[1] Los Alamos National Laboratory, Los Alamos, NM 87545, United States
Source

IEEE transactions on geoscience and remote sensing. 2002, Vol 40, Num 2, pp 393-404 ; Illustration , Table ; ref : 39 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
Keyword (fr)
Algorithme Classification Exploitation Imagerie Technique Traitement donnée Télédétection multispectrale Automatisation GENIE Traitement image
Keyword (en)
algorithms classification exploitation imagery techniques data processing multispectral remote sensing
Keyword (es)
Algoritmo Clasificación Explotación Imaginería Tratamiento datos Teledetección multiespectral
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
13561798

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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