DocumentCode
2541612
Title
Segmenting SAR images using fuzzy clustering
Author
Kersten, Paul R. ; Lee, Roger R Y ; Verdi, Jim S. ; Carvalho, Ron M. ; Yankovich, Stephen P.
Author_Institution
Aircraft Div, Naval Air Warfare Center, Patuxent River, MD, USA
fYear
2000
fDate
2000
Firstpage
105
Lastpage
108
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
Keywords
fuzzy set theory; image segmentation; radar imaging; synthetic aperture radar; SAR image segmentation; fuzzy clustering; land use management; objective functions; polarimetric synthetic aperture radar images; Clustering algorithms; Fuzzy sets; Image segmentation; Lattices; Partitioning algorithms; Pixel; Radar scattering; Robustness; Synthetic aperture radar; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
Conference_Location
Atlanta, GA
Print_ISBN
0-7803-6274-8
Type
conf
DOI
10.1109/NAFIPS.2000.877398
Filename
877398
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