DocumentCode
1751000
Title
Segmenting polarimetric SAR images using robust competitive clustering
Author
Kersten, Paul R. ; Lee, Roger R Y
Author_Institution
Aircraft Div., Naval Air Warfare Center, Patuxent River, MD, USA
Volume
2
fYear
2001
fDate
25-28 July 2001
Firstpage
1140
Abstract
POLSAR (POLarimetric Synthetic Aperture Radar) images have great potential for land-use management, provided that the images can be efficiently segmented. This paper describes the application of the Robust Competitive Agglomeration (RCA) clustering algorithm to POLSAR images to segment the images. Examples are presented and future efforts are discussed
Keywords
competitive algorithms; image segmentation; pattern clustering; radar computing; radar polarimetry; remote sensing by radar; synthetic aperture radar; POLSAR; RCA clustering algorithm; land-use management; polarimetric SAR image segmentation; polarimetric synthetic aperture radar; robust competitive agglomeration; robust competitive clustering; Clustering algorithms; Fuzzy sets; Image segmentation; Lattices; Partitioning algorithms; Pixel; Radar scattering; Robustness; Synthetic aperture radar; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-7078-3
Type
conf
DOI
10.1109/NAFIPS.2001.944765
Filename
944765
Link To Document