A Hierarchical Feature Fusion and Attention Network for Automatic Ship Detection From SAR Images-Reference-Cited by-同舟云学术

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A Hierarchical Feature Fusion and Attention Network for Automatic Ship Detection From SAR Images

Published:2024 Issue: Volume:17 Page:13981-13994
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:

Mao Qianqian¹^ORCID,Li Yinwei²^ORCID,Zhu Yiming²^ORCID

Affiliation:

1. School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China

2. Terahertz Technology Innovation Research Institute, Terahertz Spectrum and Imaging Technology Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Basic Strengthening Program Technical Area Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10618987.pdf?arnumber=10618987

Reference50 articles.

1. Monitoring dynamic processes on the earth's surface using synthetic aperture radar

2. Extraction and Three-Dimensional Reconstruction of Isolated Buildings in Urban Scenes From High-Resolution Optical and SAR Spaceborne Images

3. Ship Detection for High-Resolution SAR Images Based on Feature Analysis

4. Ship detection in SAR images based on shearlet features;Zhuo

5. Scattering Information Fusion Network for Oriented Ship Detection in SAR Images

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