SAR Target Detection Based on Improved SSD with Saliency Map and Residual Network

SAR Target Detection Based on Improved SSD with Saliency Map and Residual Network

A target detection method based on an improved single shot multibox detector (SSD) is proposed to solve insufficient training samples for synthetic aperture radar (SAR) target detection. We propose two strategies to improve the SSD: model structure optimization and small sample augmentation. For mod...

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Bibliographic Details
Main Authors: Fang Zhou, Fengjie He, Changchun Gui, Zhangyu Dong, Mengdao Xing
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
synthetic aperture radar (SAR)
target detection
deep learning
saliency map
Online Access:https://www.mdpi.com/2072-4292/14/1/180

Internet

https://www.mdpi.com/2072-4292/14/1/180

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