A Kernel Clustering Algorithm With Fuzzy Factor: Application to SAR Image Segmentation

• Published in: IEEE geoscience and remote sensing letters Vol. 11; no. 7; pp. 1290 - 1294
• Main Authors: Xiang, Deliang, Tang, Tao, Hu, Canbin, Li, Yu, Su, Yi
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.07.2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Clustering algorithms; Fuzzy C-means (FCM) clustering; Fuzzy logic; Image segmentation; Kernel; Noise; Objective function; Robustness; Speckle; Synthetic aperture radar; synthetic aperture radar (SAR) image segmentation; wavelet decomposition; weighted fuzzy factor; wavelet decomposition; synthetic aperture radar (SAR) image segmentation; weighted fuzzy factor; Fuzzy C-means (FCM) clustering

The presence of multiplicative noise in synthetic aperture radar (SAR) images makes segmentation and classification difficult to handle. Although a fuzzy C-means (FCM) algorithm and its variants (e.g., the FCM_S, the fast generalized FCM, the fuzzy local information C-means, etc.) can achieve satisf...