Boosting Ship Detection in SAR Images With Complementary Pretraining Techniques

Boosting Ship Detection in SAR Images With Complementary Pretraining Techniques

Deep learning methods have made significant progress in ship detection in synthetic aperture radar (SAR) images. The pretraining technique is usually adopted to support deep neural networks-based SAR ship detectors due to the scarce labeled SAR images. However, directly leveraging ImageNet pretraini...

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Bibliographic Details
Main Authors: Wei Bao, Meiyu Huang, Yaqin Zhang, Yao Xu, Xuejiao Liu, Xueshuang Xiang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Common representation learning
optical ship detector (OSD) pretraining
optical-SAR matching (OSM) pretraining
ship detection
weighted boxes fusion (WBF)
Online Access:https://ieeexplore.ieee.org/document/9527093/

Internet

https://ieeexplore.ieee.org/document/9527093/

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