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A Time-Efficient Method for Anomaly Detection in Hyperspectral Images

Author
DURAN, Olga1 ; PETROU, Maria1
[1] Communications and Signal Processing Group, Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, United Kingdom
Issue title
Pattern recognition in remote sensing
Author (monograph)
CLAUSI, David A (Editor)1 ; AKSOY, Selim (Editor)2 ; TILTON, James C (Editor)3
[1] Department of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
[2] Department of Computer Engineering, Bilkent University, Ankara 06800, Turkey
[3] National Aeronautics and Space Administration, Goddard Space Flight Center, Computational and Information Science and Technology Office, Greenbelt, MD 20771, United States
Source

IEEE transactions on geoscience and remote sensing. 2007, Vol 45, Num 12, pp 3894-3904, 11 p ; 1 ; ref : 36 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
Anomaly detection ISODATA clustering hyperspectral data self-organising maps subsampling κ-means
Keyword (fr)
Algorithme Analyse groupe Anomalie Carte Détection Echantillonnage Extraction Imagerie Modèle Méthodologie Pixel Probabilité Spectre Télédétection ISODATA Image hyperspectrale Télédétection hyperspectrale
Keyword (en)
algorithms cluster analysis anomalies maps detection sampling extraction imagery models methodology Pixel probability spectra remote sensing
Keyword (es)
Algoritmo Análisis grupo Anomalía Mapa Muestreo Imaginería Modelo Metodología Pixel Probabilidad Espectro 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
19907636

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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