78 citations · 115 across the 8 of their papers we have counts for
8 papers
Data-Driven Vision-Language Models for Remote Sensing: A Survey
Yue Zhou, Shujun Zhao, Xue Yang +7
During the deep learning era, innovations in remote sensing (RS) vision models primarily focused on optimizing network architectures for specific tasks and conducting end-to-end tr…
Scene-aware SAR ship detection guided by unsupervised sea-land segmentation
Han Ke, Xiao Ke, Ye Yan +5
DL based Synthetic Aperture Radar (SAR) ship detection has tremendous advantages in numerous areas. However, it still faces some problems, such as the lack of prior knowledge, whic…
3D Super-Resolution Imaging Method for Distributed Millimeter-wave Automotive Radar System
Yanqin Xu, Xiaoling Zhang, Shunjun Wei +3
Millimeter-wave (mmW) radar is widely applied to advanced autopilot assistance systems. However, its small antenna aperture causes a low imaging resolution. In this paper, a new di…
Sar Ship Detection based on Swin Transformer and Feature Enhancement Feature Pyramid Network
Xiao Ke, Xiaoling Zhang, Tianwen Zhang +2
With the booming of Convolutional Neural Networks (CNNs), CNNs such as VGG-16 and ResNet-50 widely serve as backbone in SAR ship detection. However, CNN based backbone is hard to m…
A Dual-Polarization Information Guided Network for SAR Ship Classification
Tianwen Zhang, Xiaoling Zhang
How to fully utilize polarization to enhance synthetic aperture radar (SAR) ship classification remains an unresolved issue. Thus, we propose a dual-polarization information guided…
A Mask Attention Interaction and Scale Enhancement Network for SAR Ship Instance Segmentation
Tianwen Zhang, Xiaoling Zhang
Most of existing synthetic aperture radar (SAR) ship in-stance segmentation models do not achieve mask interac-tion or offer limited interaction performance. Besides, their multi-s…
Shadow-Background-Noise 3D Spatial Decomposition Using Sparse Low-Rank Gaussian Properties for Video-SAR Moving Target Shadow Enhancement
Xiaowo Xu, Xiaoling Zhang, Tianwen Zhang +3
Moving target shadows among video synthetic aperture radar (Video-SAR) images are always interfered by low scattering backgrounds and cluttered noises, causing poor detec-tion-trac…
Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection in SAR Images
Tianwen Zhang, Xiaoling Zhang, Jun Shi +5
Huge imbalance of different scenes' sample numbers seriously reduces Synthetic Aperture Radar (SAR) ship detection accuracy. Thus, to solve this problem, this letter proposes a Bal…