Extraction of hydrographic regions from remote sensing images using an oscillator network with weight adaptation

Author

Liu, Xiuwen ; Chen, Ke ; Wang, DeLiang

Author_Institution

Dept. of Comput. Sci., Florida State Univ., Tallahassee, FL, USA

Volume

39

Issue

1

fYear

2001

fDate

1/1/2001 12:00:00 AM

Firstpage

207

Lastpage

211

Abstract

The authors 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

Keywords

feature extraction; geophysical signal processing; geophysics computing; hydrological techniques; image classification; image processing; image segmentation; multilayer perceptrons; remote sensing; terrain mapping; Digital Orthophoto Quarter-Quadrangle images; LEGION; accurate boundary; feature extraction; functional system; geophysical measurement technique; hydrographic region; hydrographic region extraction; hydrology; image processing; image region; land surface; locally coupled network; multilayer perceptron; neural net; neural network; object extraction; oscillator network; remote sensing; remote sensing image; seed point; terrain mapping; weight adaptation; Availability; Cognitive science; Data mining; Feature extraction; Image resolution; Image segmentation; Information science; Local oscillators; Multilayer perceptrons; Remote sensing;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.898687

Filename

898687