Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine : REMOTE SENSING OF BUILDING INTERIOR
- Author
- KIM, Youngwook1 ; HAO LING2
[1] Department of Electrical and Computer Engineering, California State University at Fresno, Fresno, CA 93740, United States
[2] Department of Electrical and Computer Engi- neering, University of Texas at Austin, Austin, TX 78712, United States - Source
IEEE transactions on geoscience and remote sensing. 2009, Vol 47, Num 5, pp 1328-1337, 10 p ; ref : 34 ref
- CODEN
- IGRSD2
- ISSN
- 0196-2892
- Scientific domain
- Agronomy, agriculture, phytopathology; Ecology; Geology; Geophysics; Telecommunications
- Publisher
- Institute of Electrical and Electronics Engineers, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Human activity classification micro-doppler support vector machine through-wall
- Keyword (fr)
- Action anthropique Activité Arbre Classification Durée Méthode radar Précision Machine vecteur support Mur Signal Doppler
- Keyword (en)
- human activity activity trees classification duration radar methods accuracy
- Keyword (es)
- Acción hombre Actividad Clasificación Radar Precisión
- 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
- 21743498
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
10.1109/TGRS.2009.2012849 
https://dx.doi.org/10.1109/TGRS.2009.2012849
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