Transitive Transfer Learning-Based Anchor Free Rotatable Detector for SAR Target Detection With Few Samples

Transitive Transfer Learning-Based Anchor Free Rotatable Detector for SAR Target Detection With Few Samples

Deep convolutional neural networks (DCNNs) have attracted extensive attention in synthetic aperture radar (SAR) image target detection. However, there is usually a lack of labeled data in SAR images which results in difficulties to improve the detection performance with DCNN based methods. Transfer...

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Bibliographic Details
Main Authors: Quanzhi An, Zongxu Pan, Hongjian You, Yuxin Hu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Anchor free
deep convolutional neural network
few samples
rotatable detector
target detection
Online Access:https://ieeexplore.ieee.org/document/9345688/

Internet

https://ieeexplore.ieee.org/document/9345688/

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