A Densely Connected End-to-End Neural Network for Multiscale and Multiscene SAR Ship Detection

A Densely Connected End-to-End Neural Network for Multiscale and Multiscene SAR Ship Detection

Synthetic aperture radar (SAR) images have been widely used for ship monitoring. The traditional methods of SAR ship detection are difficult to detect small scale ships and avoid the interference of inshore complex background. Deep learning detection methods have shown great performance on various o...

Full description

Bibliographic Details
Main Authors: Jiao Jiao, Yue Zhang, Hao Sun, Xue Yang, Xun Gao, Wen Hong, Kun Fu, Xian Sun
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Ship detection
multiscale
neural network
synthetic aperture radar (SAR)
Online Access:https://ieeexplore.ieee.org/document/8334534/

Internet

https://ieeexplore.ieee.org/document/8334534/

Similar Items