A new committee-based active learning (CBAL) approach to hyperspectral remote sensing data classification
- Author
- JUN XU1 ; RENLONG HANG1
[1] School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China - Source
Remote sensing letters (Print). 2014, Vol 5, Num 4-6, pp 511-520, 10 p ; ref : 3/4 p
- 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)
- Classification Entropie Modèle Méthodologie Performance Pixel Prévision Télédétection spatiale Télédétection
- Keyword (en)
- classification entropy models methodology performances Pixel prediction Space remote sensing remote sensing
- Keyword (es)
- Clasificación Entropía Modelo Metodología Pixel Previsión Teledetección espacial 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
- 28692513
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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