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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Ming Chang, Xuqun You, Zhengyang Cao
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2019-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Synthetic aperture radar (SAR) target recognition bidimensional empirical mode decomposition (BEMD) joint sparse representation (JSR)
Online-Zugang:	https://ieeexplore.ieee.org/document/8836495/
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