Efficient Low-Cost Ship Detection for SAR Imagery Based on Simplified U-Net-Reference-Cited by-同舟云学术

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Efficient Low-Cost Ship Detection for SAR Imagery Based on Simplified U-Net

Published:2020 Issue: Volume:8 Page:69742-69753
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mao Yuxing^ORCID,Yang Yuqin,Ma Ziyuan,Li Mingzhe,Su Hao,Zhang Jun

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09056793.pdf?arnumber=9056793

Cited by 56 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. Lightweight model for small target detection of SAR images of ships based on NWD loss;Signal, Image and Video Processing;2024-07-12

2. Cascaded Feature Fusion Pyramid Network for Ship Detection in Dualpolarization SAR Images;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. A New Synthetic Aperture Radar Ship Detector Based on Clutter Intensity Statistics in Complex Environments;Remote Sensing;2024-02-12

4. Ship Detection With SAR C-Band Satellite Images: A Systematic Review;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

5. Predictive Analysis of Maritime Congestion Using Dynamic Big Data and Multiscale Feature Analysis;Journal of Electrical and Computer Engineering;2024-01

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