MGSFA-Net: Multiscale Global Scattering Feature Association Network for SAR Ship Target Recognition

MGSFA-Net: Multiscale Global Scattering Feature Association Network for SAR Ship Target Recognition

Deep learning has offered new ideas in SAR ship target recognition. Although many methods improve the recognition performance through the improvement of loss function and migration of deep networks, scattering features as the important intrinsic features of SAR targets, need to be considered in the...

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Bibliographic Details
Main Authors: Xianghui Zhang, Sijia Feng, Chenxi Zhao, Zhongzhen Sun, Siqian Zhang, Kefeng Ji
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning
multiscale
scattering feature association
ship recognition
synthetic aperture radar (SAR)
Online Access:https://ieeexplore.ieee.org/document/10412205/

Internet

https://ieeexplore.ieee.org/document/10412205/

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