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
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;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.944765
