Segmenting SAR Images Using Fuzzy Clustering

Polarimetnc Synthetic Aperture Radar (SAR) Images have great potential for land use management provided the images can be efficiently segmented. Clustering is one segmentation technique currently being explored. This paper compares two different fuzzy clustering techniques on SAR images that minimiz...

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Hauptverfasser: Kersten, Paul R, Lee, Roger R, Verdi, Jim S, Carvlho, Ron M, Yankovich, Stephen P
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creator Kersten, Paul R
Lee, Roger R
Verdi, Jim S
Carvlho, Ron M
Yankovich, Stephen P
description Polarimetnc Synthetic Aperture Radar (SAR) Images have great potential for land use management provided the images can be efficiently segmented. Clustering is one segmentation technique currently 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.
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source DTIC Technical Reports
subjects Active & Passive Radar Detection & Equipment
CLUSTERING
LAND USE
SCATTERING
SEGMENTED
SYNTHETIC APERTURE RADAR
THREE DIMENSIONAL
title Segmenting SAR Images Using Fuzzy Clustering
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