Area of research
Aerospace Engineering · Atomic and Molecular Physics, and Optics
Research interest
Research interests include Synthetic Aperture Radar (SAR) Applications and Techniques, Electromagnetic Scattering and Analysis, Advanced SAR Imaging Techniques, and Soil Moisture and Remote Sensing.
SAR-NeRF: Neural Radiance Fields for Synthetic Aperture Radar Multiview Representation
Single-Beam-Scanning 1-bit Metasurface With Dual Circular Polarization Based on Hybrid Coding Mechanism
A 2-bit Reconfigurable Metasurface With Real-Time Control for Deflection, Diffusion, and Polarization
A review of recent advance of ship detection in single-channel SAR images
Residual in Residual Scaling Networks for Polarimetric SAR Image Despeckling
Simulation of the temperatures in the permanently shadowed region of the Moon's south pole and data validation
Data-driven modeling of Landau damping by physics-informed neural networks
Low-Cost Reconfigurable 1 bit Millimeter-Wave Array Antenna for Mobile Terminals
Reciprocal translation between SAR and optical remote sensing images with cascaded-residual adversarial networks
Learning to Generate SAR Images With Adversarial Autoencoder
L(1/2) Regularization for ISAR Imaging and Target Enhancement of Complex Image
Synthetic Aperture Radar Image Statistical Modeling: Part One-Single-Pixel Statistical Models
Low-Profile Circularly Polarized Transmitarray for Wide-Angle Beam Control With a Third-Order Meta-FSS
Programmable Metasurface Based on Substrate-Integrated Waveguide for Compact Dynamic-Pattern Antenna
Complex-Valued Convolutional Neural Network and Its Application in Polarimetric SAR Image Classification
Three-Dimensional Reconstruction From a Multiview Sequence of Sparse ISAR Imaging of a Space Target
Radar Image Colorization: Converting Single-Polarization to Fully Polarimetric Using Deep Neural Networks
A Study of Ship Rotation Effects on SAR Image
Target Classification Using the Deep Convolutional Networks for SAR Images
Polarimetric SAR Image Classification Using Deep Convolutional Neural Networks
A Preliminary Study on SAR Advanced Information Retrieval and Scene Reconstruction
Application of deep-learning algorithms to MSTAR data
Simulation of ISAR Imaging for a Space Target and Reconstruction Under Sparse Sampling via Compressed Sensing
A Backscattering Model of Rainfall Over Rough Sea Surface for Synthetic Aperture Radar