Xueqian Wang

About Xueqian Wang

Xueqian Wang, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of Information Fusion, Target Detection, Radar Imaging, Image Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

COMIC: An unsupervised change detection method for heterogeneous remote sensing images based on copula mixtures and Cycle-Consistent Adversarial Networks

Density-based ship detection in SAR images: Extension to a self-similarity perspective

TEFISTA-Net: A learnable method for high-resolution range profile reconstruction with low-frequency ultra-wideband radar

A semi-soft label-guided network with self-distillation for SAR inshore ship detection

Mctnet: a multi-scale cnn-transformer network for change detection in optical remote sensing images

Caps-SSENet: An Improved Estimation Method for SAR Ship Size

TEFISTA-Net: GTD parameter estimation of low-frequency ultra-wideband radar via model-based deep learning

Continuous Change Detection of Flood Extents with Multi-Source Heterogeneous Satellite Image Time Series

Xueqian Wang Information

University

Position

___

Citations(all)

401

Citations(since 2020)

391

Cited By

105

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

15

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Xueqian Wang Skills & Research Interests

Information Fusion

Target Detection

Radar Imaging

Image Processing

Top articles of Xueqian Wang

COMIC: An unsupervised change detection method for heterogeneous remote sensing images based on copula mixtures and Cycle-Consistent Adversarial Networks

Information Fusion

2024/6/1

Density-based ship detection in SAR images: Extension to a self-similarity perspective

Chinese Journal of Aeronautics

2024/3/1

TEFISTA-Net: A learnable method for high-resolution range profile reconstruction with low-frequency ultra-wideband radar

Signal Processing

2024/1/1

A semi-soft label-guided network with self-distillation for SAR inshore ship detection

IEEE Transactions on Geoscience and Remote Sensing

2023/7/10

Mctnet: a multi-scale cnn-transformer network for change detection in optical remote sensing images

2023/6/27

Caps-SSENet: An Improved Estimation Method for SAR Ship Size

IEEE Geoscience and Remote Sensing Letters

2023/6/6

TEFISTA-Net: GTD parameter estimation of low-frequency ultra-wideband radar via model-based deep learning

2023/6/4

Continuous Change Detection of Flood Extents with Multi-Source Heterogeneous Satellite Image Time Series

IEEE Transactions on Geoscience and Remote Sensing

2023/6/1

ConvTransNet: A CNN-transformer network for change detection with multi-scale global-local representations

IEEE Transactions on Geoscience and Remote Sensing

2023/5/3

NN-Copula-CD: A Copula-Guided Interpretable Neural Network for Change Detection in Heterogeneous Remote Sensing Images

arXiv preprint arXiv:2303.17448

2023/3/30

Frequency-adaptive learning for SAR ship detection in clutter scenes

IEEE Transactions on Geoscience and Remote Sensing

2023/2/28

Vessel detection via multi-order saliency-based fuzzy fusion of spaceborne and airborne SAR images

Information Fusion

2023/1/1

Signal Recovery Methods Based on Two-Level Block Sparsity

2023/10/1

Xueqian Wang
Xueqian Wang

H-Index: 6

Detection of Jointly Sparse Signals via Locally Most Powerful Tests with Gaussian Noise

2023/10/1

Xueqian Wang
Xueqian Wang

H-Index: 6

Jointly Sparse Signal Recovery Method Based on Look-Ahead-Atom-Selection

2023/10/1

Xueqian Wang
Xueqian Wang

H-Index: 6

Label Augmentation Network Based on Self-Distillation for SAR Ship Detection in Complex Background

2023/7/16

HGR Maximal Correlation Augmented Cross-Modal Remote Sensing Retrieval

2023/7/16

An Unsupervised Siamese Superpixel-Based Network for Change Detection in Heterogeneous Remote Sensing Images

2023/7/16

An Extremely Lightweight U-Net with Soft Fusion for Flood Detection Using Multi-Source Satellite Images

2023/7/16

Dense Ship Detection Guided by Centrality Prior Information in SAR Images

2023/7/16

See List of Professors in Xueqian Wang University(Tsinghua University)

Co-Authors

academic-engine