Classification of multi-spectral remote sensing data using a local transfer function classifier
- Author
- OUYANG, Y1 2 ; MA, J1
[1] State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, 100101, China
[2] Graduate School, Chinese Academy of Sciences, Beijing, 100049, China - Source
International journal of remote sensing (Print). 2006, Vol 27, Num 23-24, pp 5401-5408, 8 p ; ref : 10 ref
- CODEN
- IJSEDK
- ISSN
- 0143-1161
- Scientific domain
- Agronomy, agriculture, phytopathology; Ecology; Geology; Geophysics; Oceanography
- Publisher
- Taylor and Francis, Abingdon
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Algorithme apprentissage Apprentissage Classificateur Classification Donnée Etude expérimentale Fonction transfert Problème Précision Réseau neuronal Structure Télédétection
- Keyword (en)
- Learning algorithm Learning Classifier classification data experimental studies transfer functions Problem accuracy neural networks Structure remote sensing
- Keyword (es)
- Algoritmo aprendizaje Aprendizaje Clasificador Clasificación Dato Función traspaso Problema Precisión Red neuronal Estructura Detección a distancia
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01M Internal geophysics / 001E01M04 Applied geophysics
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14A General aspects. Techniques / 002A14A03 Teledetection and vegetation maps
- Discipline
- Animal, vegetal and microbial ecology Earth sciences
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18393983
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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DOI
10.1080/01431160600823222 
https://dx.doi.org/10.1080/01431160600823222
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