Synthetic aperture radar ship detection in complex scenes based on multifeature fusion network-Reference-Cited by-同舟云学术

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Synthetic aperture radar ship detection in complex scenes based on multifeature fusion network

Published:2023-03-10 Issue:01 Volume:17 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Zhang Ming¹,Chen Yang¹,Lv Xiaoqi¹,Yang Lidong¹,Yu Dahua¹,Li Jianjun¹,Zhang Baohua¹

Affiliation:

1. Inner Mongolia University of Science and Technology, School of Information Engineering, Baotou, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference32 articles.

1. On the Capability of Hybrid-Polarity Features to Observe Metallic Targets at Sea

2. Target classification using the deep convolutional networks for SAR images;Chen,2016

3. A Comparative Study of Operational Vessel Detectors for Maritime Surveillance Using Satellite-Borne Synthetic Aperture Radar

4. An automatic ship and ship wake detection system for spaceborne SAR images in coastal regions

5. High-Speed Ship Detection in SAR Images Based on a Grid Convolutional Neural Network

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SAR ship detection network based on global context and multi-scale feature enhancement;Signal, Image and Video Processing;2024-01-21

2. Lightweight SAR Ship Detection Network Based on Transformer and Feature Enhancement;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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