Supervised segmentation of remote sensing images based on a tree-structured MRF model
- Author
- POGGI, Giovanni1 ; SCARPA, Giuseppe2 ; ZERUBIA, Josiane B3
[1] Dipartimento di Ingegneria Elettronica e delle Telecomunicazioni, Università Federico II di Napoli, 80125 Napoli, Italy
[2] Pattern Recognition Department, Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, 14131 Prague, Czech Republic
[3] Unité de Recherche de Sophia Antipolis, l'Institut National de Recherche en Informatique et en Automatique, 06902 Sophia Antipolis, France - Source
IEEE transactions on geoscience and remote sensing. 2005, Vol 43, Num 8, pp 1901-1911, 11 p ; Illustration , Table ; ref : 22 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
- Hierarchical fields Markov random fields (MRFs) image classification image segmentation regression trees structured images
- Keyword (fr)
- Algorithme Arbre Carte Classification Exposition Imagerie Modèle Optimisation Régression SPOT Segmentation Télédétection spatiale Baie Lannion Image structurée Modèle Markov Côtes-d'Armor Europe Europe Ouest France
- Keyword (en)
- algorithms trees maps classification exhibits imagery models optimization regression Spot segmentation Space remote sensing Côtes-d'Armor France Europe Western Europe France
- Keyword (es)
- Algoritmo Mapa Clasificación Imaginería Modelo Optimización Regresión Spot Teledetección espacial Côte d'Armor Europa Europa del Oeste Francia
- 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
- 16992359
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.2005.852163 
https://dx.doi.org/10.1109/TGRS.2005.852163
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