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A comparison of object-based and contextual pixel-based classifications using high and medium spatial resolution images

Author
SHANSHAN CAI1 ; DESHENG LIU1 2
[1] Department of Geography, The Ohio State University, Columbus, OH 43210, United States
[2] Department of Statistics, The Ohio State University, Columbus, OH 43210, United States
Source

Remote sensing letters (Print). 2013, Vol 4, Num 10-12, pp 998-1007, 10 p ; ref : 1 p.1/4

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 Classification Haute résolution Modèle Performance Pixel Précision Résolution spatiale Segmentation Télédétection
Keyword (en)
algorithms classification high resolution models performances Pixel accuracy spatial resolution segmentation remote sensing
Keyword (es)
Algoritmo Clasificación Alta resolucion Modelo Pixel Precisión 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
28090918

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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