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20212023
most citedATASI-Net: An Efficient Sparse Reconstruction Network for Tomographic SAR Imaging with Adaptive Threshold

24 citations · 43 across the 9 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

eess.IV2023

Conceptual Study and Performance Analysis of Tandem Dual-Antenna Spaceborne SAR Interferometry

Fengming Hu, Feng Xu, Xiaolan Qiu +2

Multi-baseline synthetic aperture radar interferometry (MB-InSAR), capable of mapping 3D surface model with high precision, is able to overcome the ill-posed problem in the single-…

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…

cs.CV2023★ 2 cited

GDDS: Pulmonary Bronchioles Segmentation with Group Deep Dense Supervision

Mingyue Zhao, Shang Zhao, Quan Quan +4

Airway segmentation, especially bronchioles segmentation, is an important but challenging task because distal bronchus are sparsely distributed and of a fine scale. Existing neural…