A Fast Threshold Neural Network for Ship Detection in Large-Scene SAR Images

A Fast Threshold Neural Network for Ship Detection in Large-Scene SAR Images

Multiscale ship detection in large-scene offshore synthetic aperture radar (SAR) images is of great significance in civil and military fields, such as maritime management and wartime reconnaissance. Methods based on deep learning apply a deep neural network to extract multiscale information from SAR...

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Bibliographic Details
Main Authors: Jingyu Cui, Hecheng Jia, Haipeng Wang, Feng Xu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
False alarm suppression network (FSN)
FUSAR-Ship-Detection dataset
lightweight ship detection framework
synthetic aperture radar (SAR)
threshold neural network (TNN)
Online Access:https://ieeexplore.ieee.org/document/9833220/

Internet

https://ieeexplore.ieee.org/document/9833220/

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