SAR Image Segmentation by Efficient Fuzzy <i>C</i>-Means Framework with Adaptive Generalized Likelihood Ratio Nonlocal Spatial Information Embedded

SAR Image Segmentation by Efficient Fuzzy <i>C</i>-Means Framework with Adaptive Generalized Likelihood Ratio Nonlocal Spatial Information Embedded

The existence of multiplicative noise in synthetic aperture radar (SAR) images makes SAR segmentation by fuzzy <i>c</i>-means (FCM) a challenging task. To cope with speckle noise, we first propose an unsupervised FCM with embedding log-transformed Bayesian non-local spatial information (...

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Bibliographic Details
Main Authors: Jingxing Zhu, Feng Wang, Hongjian You
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
image segmentation
synthetic aperture radar (SAR)
fuzzy <i>c</i>-means (FCM)
speckle noise
non-local means
Online Access:https://www.mdpi.com/2072-4292/14/7/1621

Internet

https://www.mdpi.com/2072-4292/14/7/1621

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