24 citations · 43 across the 9 of their papers we have counts for
9 papers
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-…
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…
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…
ATASI-Net: An Efficient Sparse Reconstruction Network for Tomographic SAR Imaging with Adaptive Threshold
Muhan Wang, Zhe Zhang, Xiaolan Qiu +2
Tomographic SAR technique has attracted remarkable interest for its ability of three-dimensional resolving along the elevation direction via a stack of SAR images collected from di…
TomoSAR-ALISTA: Efficient TomoSAR Imaging via Deep Unfolded Network
Muhan Wang, Zhe Zhang, Yue Wang +2
Synthetic aperture radar (SAR) tomography (TomoSAR) has attracted remarkable interest for its ability in achieving three-dimensional reconstruction along the elevation direction fr…
A Novel Gradient Descent Least Squares (GDLS) Algorithm for Efficient SMV Gridless Line Spectrum Estimation with Applications in Tomographic SAR Imaging
Ruizhe Shi, Zhe Zhang, Xiaolan Qiu +1
This paper presents a novel efficient method for gridless line spectrum estimation problem with single snapshot, namely the gradient descent least squares (GDLS) method. Convention…
SAR Image Classification Based on Spiking Neural Network through Spike-Time Dependent Plasticity and Gradient Descent
Jiankun Chen, Xiaolan Qiu, Chibiao Ding +1
At present, the Synthetic Aperture Radar (SAR) image classification method based on convolution neural network (CNN) has faced some problems such as poor noise resistance and gener…