Amplitude-Phase CNN-Based SAR Target Classification via Complex-Valued Sparse Image

Amplitude-Phase CNN-Based SAR Target Classification via Complex-Valued Sparse Image

It is known that a synthetic aperture radar (SAR) image obtained by matched filtering (MF)-based algorithms always suffers from serious noise, sidelobes, and clutters. However, the improvement of the image quality means the complexity of the SAR system will increase, which affects the application of...

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Bibliographic Details
Main Authors:	Jiarui Deng, Hui Bi, Jingjing Zhang, Zehao Liu, Lingjuan Yu
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) sparse synthetic aperture radar (SAR) target classification
Online Access:	https://ieeexplore.ieee.org/document/9810357/

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