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
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;
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
DOI :
10.1109/NAFIPS.2000.877398
