Search Results for author: Xiaoling Zhang

Found 17 papers, 2 papers with code

Shadow-Oriented Tracking Method for Multi-Target Tracking in Video-SAR

no code implementations29 Nov 2022 Xiaochuan Ni, Xiaoling Zhang, Xu Zhan, Zhenyu Yang, Jun Shi, Shunjun Wei, Tianjiao Zeng

To avoid missed tracking, a detection method based on deep learning is designed to thoroughly learn shadows' features, thus increasing the accurate estimation.

Solving 3D Radar Imaging Inverse Problems with a Multi-cognition Task-oriented Framework

no code implementations28 Nov 2022 Xu Zhan, Xiaoling Zhang, Mou Wang, Jun Shi, Shunjun Wei, Tianjiao Zeng

Current methods obtain undifferentiated results that suffer task-depended information retrieval loss and thus don't meet the task's specific demands well.

Information Retrieval Retrieval

A Model-data-driven Network Embedding Multidimensional Features for Tomographic SAR Imaging

no code implementations28 Nov 2022 Yu Ren, Xiaoling Zhang, Xu Zhan, Jun Shi, Shunjun Wei, Tianjiao Zeng

To address that, we propose a new model-data-driven network to achieve tomoSAR imaging based on multi-dimensional features.

Compressive Sensing Network Embedding

AETomo-Net: A Novel Deep Learning Network for Tomographic SAR Imaging Based on Multi-dimensional Features

no code implementations21 Sep 2022 Yu Ren, Xiaoling Zhang, Yunqiao Hu, Xu Zhan

To address them, in this paper, a novel imaging network (AETomo-Net) based on multi-dimensional features is proposed.

Rolling Shutter Correction

Constant-Time-Delay Interferences In Near-Field SAR: Analysis And Suppression In Image Domain

no code implementations21 Sep 2022 Xu Zhan, Xiaoling Zhang, Jun Shi, Shunjun Wei

To bridge this gap, in the first time, analysis and the suppression method of interferences in near-field SAR are presented in this work.

Near-Field SAR Image Restoration Based On Two Dimensional Spatial-Variant Deconvolution

no code implementations21 Sep 2022 Wensi Zhang, Xiaoling Zhang, Xu Zhan, Yuetonghui Xu, Jun Shi, Shunjun Wei

To ease this restriction, in this work an image restoration method based on the 2D spatial-variant deconvolution is proposed.

Image Restoration

Complicated Background Suppression of ViSAR Image For Moving Target Shadow Detection

no code implementations21 Sep 2022 Zhenyu Yang, Xiaoling Zhang, Xu Zhan

The existing Video Synthetic Aperture Radar (ViSAR) moving target shadow detection methods based on deep neural networks mostly generate numerous false alarms and missing detections, because of the foreground-background indistinguishability.

Shadow Detection

Two Dimensional Sparse-Regularization-Based InSAR Imaging with Back-Projection Embedding

no code implementations21 Sep 2022 Xu Zhan, Xiaoling Zhang, Shunjun Wei, Jun Shi

First, to enhance the imaging quality, we propose a new imaging framework base on 2D sparse regularization, where the characteristic of scene is embedded.

Image Registration Vocal Bursts Valence Prediction

Sar Ship Detection based on Swin Transformer and Feature Enhancement Feature Pyramid Network

no code implementations21 Sep 2022 Xiao Ke, Xiaoling Zhang, Tianwen Zhang, Jun Shi, Shunjun Wei

Swin Transformer serves as backbone to model long-range dependencies and generates hierarchical features maps.

A Dual-Polarization Information Guided Network for SAR Ship Classification

no code implementations11 Jul 2022 Tianwen Zhang, Xiaoling Zhang

How to fully utilize polarization to enhance synthetic aperture radar (SAR) ship classification remains an unresolved issue.


A Mask Attention Interaction and Scale Enhancement Network for SAR Ship Instance Segmentation

no code implementations8 Jul 2022 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.

Instance Segmentation Semantic Segmentation

Shadow-Background-Noise 3D Spatial Decomposition Using Sparse Low-Rank Gaussian Properties for Video-SAR Moving Target Shadow Enhancement

no code implementations7 Jul 2022 Xiaowo Xu, Xiaoling Zhang, Tianwen Zhang, Zhenyu Yang, Jun Shi, Xu Zhan

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-tracking accuracy.

Shadow Detection

Multi-View Imputation and Cross-Attention Network Based on Incomplete Longitudinal and Multimodal Data for Conversion Prediction of Mild Cognitive Impairment

1 code implementation16 Jun 2022 Tao Wang, Xiumei Chen, Xiaoling Zhang, Shuoling Zhou, Qianjin Feng, Meiyan Huang

To address these challenges, a multi-view imputation and cross-attention network (MCNet) was proposed to integrate data imputation and MCI conversion prediction in a unified framework.

Disease Prediction Imputation +1

Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection in SAR Images

no code implementations21 Jul 2020 Tianwen Zhang, Xiaoling Zhang, Jun Shi, Shunjun Wei, Jianguo Wang, Jianwei Li, Hao Su, Yue Zhou

Huge imbalance of different scenes' sample numbers seriously reduces Synthetic Aperture Radar (SAR) ship detection accuracy.

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