266 citations · 273 across the 9 of their papers we have counts for
9 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…
Efficient Gridless DoA Estimation Method of Non-uniform Linear Arrays with Applications in Automotive Radars
Silin Gao, Zhe Zhang, Muhan Wang +5
This paper focuses on the gridless direction-of-arrival (DoA) estimation for data acquired by non-uniform linear arrays (NLAs) in automotive applications. Atomic norm minimization…
Gridless Tomographic SAR Imaging Based on Accelerated Atomic Norm Minimization with Efficiency
Silin Gao, Zhe Zhang, Bingchen Zhang +1
Synthetic aperture radar (SAR) tomography (TomoSAR) enables the reconstruction and three-dimensional (3D) localization of targets based on multiple two-dimensional (2D) observation…
The First Airborne Experiment of Sparse Microwave Imaging: Prototype System Design and Result Analysis
Zhe Zhang, Bingchen Zhang, Chenglong Jiang +4
In this paper we report the first airborne experiments of sparse microwave imaging, conducted in September 2013 and May 2014, using our prototype sparse microwave imaging radar sys…
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…
Compressed Sensing SAR Imaging with Multilook Processing
Jian Fang, Zongben Xu, Bingchen Zhang +2
Multilook processing is a widely used speckle reduction approach in synthetic aperture radar (SAR) imaging. Conventionally, it is achieved by incoherently summing of some independe…
Fast Compressed Sensing SAR Imaging based on Approximated Observation
Jian Fang, Zongben Xu, Bingchen Zhang +2
In recent years, compressed sensing (CS) has been applied in the field of synthetic aperture radar (SAR) imaging and shows great potential. The existing models are, however, based…