Measuring Land Development in Urban Regions Using Graph Theoretical and Conditional Statistical Features
- Author
- ÜNSALAN, Cem1
[1] Computer Vision Research Laboratory, Department of Electrical and Electronics Engineering, Yeditepe University, Istanbul 34755, Turkey - Issue title
- Pattern recognition in remote sensing
- Author (monograph)
- CLAUSI, David A (Editor)1 ; AKSOY, Selim (Editor)2 ; TILTON, James C (Editor)3
[1] Department of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
[2] Department of Computer Engineering, Bilkent University, Ankara 06800, Turkey
[3] National Aeronautics and Space Administration, Goddard Space Flight Center, Computational and Information Science and Technology Office, Greenbelt, MD 20771, United States - Source
IEEE transactions on geoscience and remote sensing. 2007, Vol 45, Num 12, pp 3989-3999, 11 p ; 1 ; ref : 26 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
- Conditional gray-level co-occurrence matrix (GLCM) features fusion of features graph theory land development line-segment extraction
- Keyword (fr)
- Analyse moindres carrés Echantillon référence Extension Extraction Fusion Haute résolution Imagerie Reconnaissance forme Théorie Traitement donnée Télédétection spatiale Utilisation terrain Echelle gris Niveau gris Segment
- Keyword (en)
- least-squares standard samples extension extraction melting high resolution imagery pattern recognition theory data processing Space remote sensing land use
- Keyword (es)
- Roca patrón Extensión Fusión Alta resolucion Imaginería Teoría Tratamiento datos Teledetección espacial Utilización terreno
- 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
- 19907644
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.2007.897446 
https://dx.doi.org/10.1109/TGRS.2007.897446
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