Bidimensional Empirical Mode Decomposition for SAR Image Feature Extraction With Application to Target Recognition

Bidimensional Empirical Mode Decomposition for SAR Image Feature Extraction With Application to Target Recognition

This study introduces a target recognition algorithm for synthetic aperture radar (SAR) images based on the features extracted by bidimensional empirical mode decomposition (BEMD). BEMD provides an adaptive and empirical way to process signals, which generates bidimensional intrinsic mode functions...

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Bibliographic Details
Main Authors: Ming Chang, Xuqun You, Zhengyang Cao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Synthetic aperture radar (SAR)
target recognition
bidimensional empirical mode decomposition (BEMD)
joint sparse representation (JSR)
Online Access:https://ieeexplore.ieee.org/document/8836495/

Internet

https://ieeexplore.ieee.org/document/8836495/

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