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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