Title :
An adaptive seed point selection technique for segmentation of polarimetric synthetic aperture radar images
Author :
Chaudhuri, Sanjay D. ; Singh, Mrigendra Pratap ; Mishra, Anadi
Author_Institution :
Defence Electron. Applic. Lab., Dehradun, India
Abstract :
The performance of the most popular unsupervised clustering algorithm, k-means depends on the initial seed points. This paper proposes a mode based adaptive seed selection algorithm, which is used to improve the performance of Wishart segmentation for the segmentation of polarimetric synthetic aperture radar images.
Keywords :
image segmentation; pattern clustering; radar imaging; radar polarimetry; synthetic aperture radar; Wishart segmentation; adaptive seed point selection; adaptive seed selection; image segmentation; k-means clustering; polarimetric synthetic aperture radar images; seed points; unsupervised clustering algorithm; Algorithm design and analysis; Clustering algorithms; Conferences; Histograms; Image segmentation; Remote sensing; Synthetic aperture radar; Wishart distance; cluster validity; mode; polarimetric SAR; seed point; synthetic aperture radar;
Conference_Titel :
Image Information Processing (ICIIP), 2013 IEEE Second International Conference on
Conference_Location :
Shimla
Print_ISBN :
978-1-4673-6099-9
DOI :
10.1109/ICIIP.2013.6707548
