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Author Kersten, P.R. ♦ Lee, R.R.-Y. ♦ Verdi, J.S. ♦ Carvalho, R.M. ♦ Yankovich, S.P.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2000
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Image segmentation ♦ Pixel ♦ Synthetic aperture radar ♦ Radar scattering ♦ Vectors ♦ Clustering algorithms ♦ Robustness ♦ Lattices ♦ Fuzzy sets ♦ Partitioning algorithms
Abstract Polarimetric synthetic aperture radar (SAR) images have great potential for land use management provided the images can be efficiently segmented. Clustering is one segmentation technique being explored. This paper compares two different fuzzy clustering techniques on SAR images that minimize two different objective functions. Examples of both methods are presented and future efforts to improve both results discussed.
Description Author affiliation: Aircraft Div, Naval Air Warfare Center, Patuxent River, MD, USA (Kersten, P.R.)
ISBN 0780362748
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2000-07-13
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 393.99 kB
Page Count 4
Starting Page 105
Ending Page 108


Source: IEEE Xplore Digital Library