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Multiresolution fuzzy clustering for SAR image segmentation
Author(s)
Thitimajshima, Punya
Date Issued
December 1, 1999
Type
Conference Paper
Abstract
This paper describes a pyramid-based method for clustering single polarization Synthetic Aperture Radar (SAR) images. A pyramid of the image is first constructed by using the wavelet transform. The fuzzy c-means (FCM) algorithm is then applied to the pyramid with the coarse-to-fine approach. Finally, clustering is followed by a majority filtering to obtain more homogeneous regions. The algorithm has been tested on JERS-1/SAR images, and the results demonstrate its potential usefulness.
Citation
International Geoscience and Remote Sensing Symposium IGARSS, 5, 2507-2509, 1999
