SAR Target Classification Based on Multiscale Attention Super-Class Network

SAR Target Classification Based on Multiscale Attention Super-Class Network

The convolutional neural network (CNN) is widely used in synthetic aperture radar (SAR) target recognition, but conventional CNN mainly adopts a single-scale convolutional kernel, resulting in losing part of the feature information of targets and does not pay enough attention to significant features...

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Bibliographic Details
Main Authors: Di Wang, Yongping Song, Junnan Huang, Daoxiang An, Leping Chen
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
multiscale attention
super-class labels
synthetic aperture radar (SAR) target classification
Online Access:https://ieeexplore.ieee.org/document/9893301/

Internet

https://ieeexplore.ieee.org/document/9893301/

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