MGSFA-Net: Multiscale Global Scattering Feature Association Network for SAR Ship Target Recognition-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume:17 Page:4611-4625
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Zhang Xianghui¹^ORCID,Feng Sijia¹^ORCID,Zhao Chenxi¹^ORCID,Sun Zhongzhen¹^ORCID,Zhang Siqian¹^ORCID,Ji Kefeng¹^ORCID

Affiliation:

1. State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, the College of Electronic Science and Technology, National University of Defense Technology, Changsha, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10412205.pdf?arnumber=10412205

Reference52 articles.

1. Evaluation and Improvement of Generalization Performance of SAR Ship Recognition Algorithms

2. BiFA-YOLO: A Novel YOLO-Based Method for Arbitrary-Oriented Ship Detection in High-Resolution SAR Images

3. Using Low-Resolution SAR Scattering Features for Ship Classification

4. Ship Classification in SAR Image by Joint Feature and Classifier Selection

5. An Anchor-Free Detection Method for Ship Targets in High-Resolution SAR Images

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