CSR-Net: A Novel Complex-Valued Network for Fast and Precise 3-D Microwave Sparse Reconstruction

CSR-Net: A Novel Complex-Valued Network for Fast and Precise 3-D Microwave Sparse Reconstruction

Since the compressed sensing (CS) theory broke through the limitation of the traditional Nyquist sampling theory, it has attracted extensive attention in the field of microwave imaging. However, in 3-D microwave sparse reconstruction application, conventional CS-based algorithms always suffer from h...

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Bibliographic Details
Main Authors: Mou Wang, Shunjun Wei, Jun Shi, Yue Wu, Qizhe Qu, Yuanyuan Zhou, Xiangfeng Zeng, Bokun Tian
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
3-D microwave imaging
complex-valued network
compressed sensing (CS)
convolutional neural network (CNN)
deep learning (DL)
iterative threshold optimization
Online Access:https://ieeexplore.ieee.org/document/9161274/

Internet

https://ieeexplore.ieee.org/document/9161274/

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