Cluster-Based Tensorial Semisupervised Discriminant Analysis for Feature Extraction of SAR Images

Cluster-Based Tensorial Semisupervised Discriminant Analysis for Feature Extraction of SAR Images

Several features have been developed to characterize the land cover in synthetic aperture radar (SAR) data with speckle noise. Feature extraction has become an essential task for SAR image processing. However, how to preserve the original intrinsic structural information and enhance the discriminant...

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Bibliographic Details
Main Authors: Xiaoying Wu, Xianbin Wen, Liming Yuan, Changlun Guo, Haixia Xu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Feature extraction
nonlocal
tensor
semisupervised discriminant analysis
SAR
Online Access:https://ieeexplore.ieee.org/document/8744595/

Internet

https://ieeexplore.ieee.org/document/8744595/

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