2 citations · 2 across the 4 of their papers we have counts for
4 papers
A Robust Super-resolution Gridless Imaging Framework for UAV-borne SAR Tomography
Silin Gao, Wenlong Wang, Muhan Wang +5
Synthetic aperture radar (SAR) tomography (TomoSAR) retrieves three-dimensional (3-D) information from multiple SAR images, effectively addresses the layover problem, and has becom…
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…
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…
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…