End-to-End Ship Detection in SAR Images for Complex Scenes Based on Deep CNNs
Ship detection on synthetic aperture radar (SAR) imagery has many valuable applications for both civil and military fields and has received extraordinary attention in recent years. The traditional detection methods are insensitive to multiscale ships and usually time-consuming, results in low detect...
Main Authors: | Yao Chen, Tao Duan, Changyuan Wang, Yuanyuan Zhang, Mo Huang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | Journal of Sensors |
Online Access: | http://dx.doi.org/10.1155/2021/8893182 |
Similar Items
-
Object detectors emerge in Deep Scene CNNs
by: Zhou, Bolei, et al.
Published: (2015) -
A Hybrid End-to-End Approach Integrating Conditional Random Fields into CNNs for Prostate Cancer Detection on MRI
by: Paulo Lapa, et al.
Published: (2020-01-01) -
License Plate Detection with Shallow and Deep CNNs in Complex Environments
by: Li Zou, et al.
Published: (2018-01-01) -
Moving Object Detection With Deep CNNs
by: Haidi Zhu, et al.
Published: (2020-01-01) -
A Densely Connected End-to-End Neural Network for Multiscale and Multiscene SAR Ship Detection
by: Jiao Jiao, et al.
Published: (2018-01-01)