24 citations · 43 across the 9 of their papers we have counts for
Showing 2023 · eess.SPShow all
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eess.SP2023
CVGG-Net: Ship Recognition for SAR Images Based on Complex-Valued Convolutional Neural Network
Dandan Zhao, Zhe Zhang, Dongdong Lu +3
Ship target recognition is a vital task in synthetic aperture radar (SAR) imaging applications. Although convolutional neural networks have been successfully employed for SAR image…
eess.SP2023★ 2 cited
SPHR-SAR-Net: Superpixel High-resolution SAR Imaging Network Based on Nonlocal Total Variation
Guoru Zhou, Zhongqiu Xu, Yizhe Fan +5
High-resolution is a key trend in the development of synthetic aperture radar (SAR), which enables the capture of fine details and accurate representation of backscattering propert…
eess.SP2023
MF-JMoDL-Net: A Deep Network for Azimuth Undersampling Pattern Design and Ambiguity Suppression for Sparse SAR Imaging
Yuwei Wu, Zhe Zhang, Xiaolan Qiu +2
repetition frequency (PRF). Given the system complexity and resource constraints, it is often difficult to achieve high imaging performance and low ambiguity without compromising t…