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The automated detection and recognition of internal waves

Author
SIMONIN, D1 ; TATNALL, A. R2 ; ROBINSON, I. S3
[1] Microsoft-Vexcel UK Limited, 3 Great Farm Offices, West Woodhay, Newbury, Berkshire RG20 OBP, United Kingdom
[2] University of Southampton, Astronautics Group, Highfield, Southampton, Hampshire SO17 1BJ, United Kingdom
[3] National Oceanography Centre, Southampton, Hampshire SO14 3ZH, United Kingdom
Source

International journal of remote sensing (Print). 2009, Vol 30, Num 17-18, pp 4581-4598, 18 p ; ref : 1 p

CODEN
IJSEDK
ISSN
0143-1161
Scientific domain
Agronomy, agriculture, phytopathology; Ecology; Geology; Geophysics; Oceanography
Publisher
Taylor & Francis, Abingdon
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Automatisation Discrimination Détection Eau mer Eau profonde Imagerie Information Longueur onde Mixage Modélisation Observation par satellite Onde interne Ondelette Précision Radar ouverture synthétique Reconnaissance Technique Télédétection spatiale
Keyword (en)
automation discrimination detection sea water Deep water imagery Information wavelength mixing Modeling Satellite observation internal waves wavelet accuracy Synthetic aperture radar Recognition techniques Space remote sensing
Keyword (es)
Agua mar Agua profunda Imaginería Información Mezcla Modelización Observación por satélite Precisión Reconocimiento 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
21878863

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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