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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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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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. 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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.</description><subject>Active & Passive Radar Detection & Equipment</subject><subject>CLUSTERING</subject><subject>LAND USE</subject><subject>SCATTERING</subject><subject>SEGMENTED</subject><subject>SYNTHETIC APERTURE RADAR</subject><subject>THREE DIMENSIONAL</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>1999</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNrjZNAJTk3PTc0rycxLVwh2DFLwzE1MTy1WCC0GCbiVVlVVKjjnlBaXpBYBBXgYWNMSc4pTeaE0N4OMm2uIs4duSklmcnwx0JDUknhHF0djcwtDE2NjAtIAwdUmfg</recordid><startdate>19990702</startdate><enddate>19990702</enddate><creator>Kersten, Paul R</creator><creator>Lee, Roger R</creator><creator>Verdi, Jim S</creator><creator>Carvlho, Ron M</creator><creator>Yankovich, Stephen P</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>19990702</creationdate><title>Segmenting SAR Images Using Fuzzy Clustering</title><author>Kersten, Paul R ; Lee, Roger R ; Verdi, Jim S ; Carvlho, Ron M ; Yankovich, Stephen P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_ADA3781433</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Active & Passive Radar Detection & Equipment</topic><topic>CLUSTERING</topic><topic>LAND USE</topic><topic>SCATTERING</topic><topic>SEGMENTED</topic><topic>SYNTHETIC APERTURE RADAR</topic><topic>THREE DIMENSIONAL</topic><toplevel>online_resources</toplevel><creatorcontrib>Kersten, Paul R</creatorcontrib><creatorcontrib>Lee, Roger R</creatorcontrib><creatorcontrib>Verdi, Jim S</creatorcontrib><creatorcontrib>Carvlho, Ron M</creatorcontrib><creatorcontrib>Yankovich, Stephen P</creatorcontrib><creatorcontrib>NAVAL AIR WARFARE CENTER AIRCRAFT DIV PATUXENT RIVER MD</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kersten, Paul R</au><au>Lee, Roger R</au><au>Verdi, Jim S</au><au>Carvlho, Ron M</au><au>Yankovich, Stephen P</au><aucorp>NAVAL AIR WARFARE CENTER AIRCRAFT DIV PATUXENT RIVER MD</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>Segmenting SAR Images Using Fuzzy Clustering</btitle><date>1999-07-02</date><risdate>1999</risdate><abstract>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.</abstract><oa>free_for_read</oa></addata></record> |
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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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