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Titolo:
Extraction of hydrographic regions from remote sensing images using an oscillator network with weight adaptation
Autore:
Liu, XW; Chen, K; Wang, DL;
Indirizzi:
Florida State Univ, Dept Comp Sci, Tallahassee, FL 32306 USA Florida StateUniv Tallahassee FL USA 32306 ci, Tallahassee, FL 32306 USA Ohio State Univ, Ctr Cognit Sci, Columbus, OH 43210 USA Ohio State Univ Columbus OH USA 43210 Cognit Sci, Columbus, OH 43210 USA Ohio State Univ, Dept Comp & Informat Sci, Columbus, OH 43210 USA Ohio State Univ Columbus OH USA 43210 nformat Sci, Columbus, OH 43210 USA
Titolo Testata:
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
fascicolo: 1, volume: 39, anno: 2001,
pagine: 207 - 211
SICI:
0196-2892(200101)39:1<207:EOHRFR>2.0.ZU;2-9
Fonte:
ISI
Lingua:
ENG
Soggetto:
ARTIFICIAL NEURAL NETWORKS; SEGMENTATION; CLASSIFICATION;
Keywords:
classification; hydrographic region extraction; LEGION; multilayer perceptron; weight adaptation;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
15
Recensione:
Indirizzi per estratti:
Indirizzo: Liu, XW Florida State Univ, Dept Comp Sci, Tallahassee, FL 32306 USA Florida State Univ Tallahassee FL USA 32306 ahassee, FL 32306 USA
Citazione:
X.W. Liu et al., "Extraction of hydrographic regions from remote sensing images using an oscillator network with weight adaptation", IEEE GEOSCI, 39(1), 2001, pp. 207-211

Abstract

We propose a framework for object extraction with accurate boundaries. A multilayer perceptron is used to identify seed points through examples, and regions are extracted and Localized using a locally coupled network with weight adaptation. A functional system has been developed and applied to hydrographic region extraction from Digital Orthophoto Quarter-Quadrangle images.

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Documento generato il 09/04/20 alle ore 10:58:28