Xiaolan Qiu
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View article: ARSAR-Net: Intelligent SAR Imaging with Adaptive Regularization
ARSAR-Net: Intelligent SAR Imaging with Adaptive Regularization Open
Deep unfolding networks have recently emerged as a promising approach for synthetic aperture radar (SAR) imaging. However, baseline unfolding networks, typically derived from iterative reconstruction algorithms such as the alternating dire…
View article: A Near-Real-Time Imaging Algorithm for Focusing Spaceborne SAR Data in Multiple Modes Based on an Embedded GPU
A Near-Real-Time Imaging Algorithm for Focusing Spaceborne SAR Data in Multiple Modes Based on an Embedded GPU Open
To achieve on-board real-time processing for sliding-spotlight mode synthetic aperture radar (SAR), on the one hand, this paper proposes an adaptive and efficient imaging algorithm for the sliding-spotlight mode. On the other hand, a batch…
View article: CV-YOLO: A Complex-Valued Convolutional Neural Network for Oriented Ship Detection in Single-Polarization Single-Look Complex SAR Images
CV-YOLO: A Complex-Valued Convolutional Neural Network for Oriented Ship Detection in Single-Polarization Single-Look Complex SAR Images Open
Deep learning has significantly advanced synthetic aperture radar (SAR) ship detection in recent years. However, existing approaches predominantly rely on amplitude information while largely overlooking the critical phase component, limiti…
View article: SAAS-Net: Self-Supervised Sparse Synthetic Aperture Radar Imaging Network with Azimuth Ambiguity Suppression
SAAS-Net: Self-Supervised Sparse Synthetic Aperture Radar Imaging Network with Azimuth Ambiguity Suppression Open
Sparse Synthetic Aperture Radar (SAR) imaging has garnered significant attention due to its ability to suppress azimuth ambiguity in under-sampled conditions, making it particularly useful for high-resolution wide-swath (HRWS) SAR systems.…
View article: SAAS-Net: Self-supervised Sparse SAR Imaging Network with Azimuth Ambiguity Suppression
SAAS-Net: Self-supervised Sparse SAR Imaging Network with Azimuth Ambiguity Suppression Open
Sparse Synthetic Aperture Radar (SAR) imaging has garnered significant attention due to its ability to suppress azimuth ambiguity in under-sampled conditions, making it particularly useful for high-resolution wide-swath (HRWS) SAR systems.…
View article: Plant-nanoparticles enhance anti-PD-L1 efficacy by shaping human commensal microbiota metabolites
Plant-nanoparticles enhance anti-PD-L1 efficacy by shaping human commensal microbiota metabolites Open
Diet has emerged as a key impact factor for gut microbiota function. However, the complexity of dietary components makes it difficult to predict specific outcomes. Here we investigate the impact of plant-derived nanoparticles (PNP) on gut …
View article: A Three-Dimensional Imaging Method for Unmanned Aerial Vehicle-Borne SAR Based on Nested Difference Co-Arrays and Azimuth Multi-Snapshots
A Three-Dimensional Imaging Method for Unmanned Aerial Vehicle-Borne SAR Based on Nested Difference Co-Arrays and Azimuth Multi-Snapshots Open
Due to its miniature size and single-pass nature, Unmanned Aerial Vehicle (UAV)-borne array synthetic aperture radar (SAR) is capable of obtaining three-dimensional (3D) electromagnetic scattering information with a low cost and high effic…
View article: A Three-Dimensional Imaging Method for Unmanned Aerial Vehicle-Borne SAR Based on Nested Difference Co-array and Azimuth Multi-Snapshot
A Three-Dimensional Imaging Method for Unmanned Aerial Vehicle-Borne SAR Based on Nested Difference Co-array and Azimuth Multi-Snapshot Open
Due to its miniature size and single-pass nature, Unmanned Aerial Vehicle (UAV)-borne array Synthetic Aperture Radar (SAR) is capable of obtaining three-dimensional (3D) electromagnetic scattering information with low cost and high efficie…
View article: Trajectory Prediction and Intention Recognition Based on CNN-GRU
Trajectory Prediction and Intention Recognition Based on CNN-GRU Open
Accurate trajectory prediction and intention recognition are essential for effective decision-making, as different intents manifest in distinct trajectory patterns. This study focuses on trajectory prediction and intention recognition for …
View article: PUSIF-DUNet: Deep SAR Imaging Network With Joint Optimization on Learnable Probabilistic Undersampling and Unambiguous Reconstruction
PUSIF-DUNet: Deep SAR Imaging Network With Joint Optimization on Learnable Probabilistic Undersampling and Unambiguous Reconstruction Open
Since the minimum antenna area constraint in the spaceborne single-channel synthetic aperture radar (SAR), it's difficult to achieve high-resolution and wide-swath imaging simultaneously. A larger range swath requires a lower pulse repetit…
View article: A Geometric Semantic Enhanced TomoSAR Reconstruction Algorithm in an Urban Area: Analysis and Application
A Geometric Semantic Enhanced TomoSAR Reconstruction Algorithm in an Urban Area: Analysis and Application Open
Tomographic synthetic aperture radar (TomoSAR) has the ability to separate mixed scatterers, making it highly suitable for urban 3-dimensional (3D) reconstruction. However, Urban TomoSAR imaging still faces challenges such as resolution li…
View article: A Polarization-Power-Maximum-Based 3-D Imaging Method for Ku-Band UAV-Borne Fully Polarimetric Array InSAR
A Polarization-Power-Maximum-Based 3-D Imaging Method for Ku-Band UAV-Borne Fully Polarimetric Array InSAR Open
Fully polarimetric array InSAR (Pol-array-InSAR) can obtain 3-D position information and the polarization scattering characteristics of targets. In this article, we propose a polarization analysis-based processing framework for the synthet…
View article: PolSAM: Polarimetric Scattering Mechanism Informed Segment Anything Model
PolSAM: Polarimetric Scattering Mechanism Informed Segment Anything Model Open
PolSAR data presents unique challenges due to its rich and complex characteristics. Existing data representations, such as complex-valued data, polarimetric features, and amplitude images, are widely used. However, these formats often face…
View article: Enhanced 3-D Reconstruction Method for Polarimetric Coherent Optimal-Based Tomographic SAR
Enhanced 3-D Reconstruction Method for Polarimetric Coherent Optimal-Based Tomographic SAR Open
Tomographic synthetic aperture radar (TomoSAR) technology has become one of the important means to obtain 3-D information of urban buildings. With the continuous development of SAR technology, TomoSAR also has full-polarization reception c…
View article: A Novel Phase Error Estimation Method for TomoSAR Imaging Based on Adaptive Momentum Optimizer and Joint Criterion
A Novel Phase Error Estimation Method for TomoSAR Imaging Based on Adaptive Momentum Optimizer and Joint Criterion Open
Tomographic synthetic aperture radar (TomoSAR) has garnered significant attention recently due to its 3-D imaging capabilities. However, interchannel phase errors present in practical applications severely degrade the quality of 3-D recons…
View article: A Complex Background SAR Ship Target Detection Method Based on Fusion Tensor and Cross-Domain Adversarial Learning
A Complex Background SAR Ship Target Detection Method Based on Fusion Tensor and Cross-Domain Adversarial Learning Open
Synthetic Aperture Radar (SAR) ship target detection has been extensively researched. However, most methods use the same dataset division for both training and validation. In practical applications, it is often necessary to quickly adapt t…
View article: A domain adaptation framework for cross-modality SAR 3D reconstruction point clouds segmentation utilizing LiDAR data
A domain adaptation framework for cross-modality SAR 3D reconstruction point clouds segmentation utilizing LiDAR data Open
Synthetic aperture radar (SAR) 3D point clouds reconstruction can eliminate the problems of layover in 2D SAR image projections, the recognition of the reconstructed point cloud can significantly enhance target identification and informati…
View article: Precise Motion Compensation of Multi-Rotor UAV-Borne SAR Based on Improved PTA
Precise Motion Compensation of Multi-Rotor UAV-Borne SAR Based on Improved PTA Open
In recent years, with the miniaturization of high-precision position and orientation systems (POS), precise motion errors during SAR data collection can be calculated based on high-precision POS. However, compensating for these errors rema…
View article: Advances and prospects in SAR microwave vision <?A3B2 pi6?>three-dimensional imaging
Advances and prospects in SAR microwave vision <?A3B2 pi6?>three-dimensional imaging Open
Synthetic Aperture Radar three-dimensional (3D) imaging enables the acquisition of more comprehensive information, making it a recent hotspot in radar imaging. Traditional 3D imaging methods have evolved from 2D and interferometric imaging…
View article: A Complex Background SAR Ship Target Detection Method Based on Fusion Tensor and Cross-Domain Adversarial Learning
A Complex Background SAR Ship Target Detection Method Based on Fusion Tensor and Cross-Domain Adversarial Learning Open
Synthetic Aperture Radar (SAR) ship target detection has been extensively researched. However, most methods use the same dataset division for both training and validation. In practical applications, it is often necessary to quickly adapt t…
View article: Two-Dimensional Autofocus for Ultra-High-Resolution Squint Spotlight Airborne SAR Based on Improved Spectrum Modification
Two-Dimensional Autofocus for Ultra-High-Resolution Squint Spotlight Airborne SAR Based on Improved Spectrum Modification Open
For ultra-high-resolution (UHR) squint spotlight airborne synthetic aperture radar (SAR), the severe range-azimuth coupling caused by squint mode and the spatial and frequency dependence of the motion error brought by ultra-wide bandwidth …
View article: Skeleton Supervised Airway Segmentation
Skeleton Supervised Airway Segmentation Open
Fully-supervised airway segmentation has accomplished significant triumphs over the years in aiding pre-operative diagnosis and intra-operative navigation. However, full voxel-level annotation constitutes a labor-intensive and time-consumi…
View article: Unmanned Airborne Bistatic Interferometric Synthetic Aperture Radar Data Processing Method Using Bi-Directional Synchronization Chain Signals
Unmanned Airborne Bistatic Interferometric Synthetic Aperture Radar Data Processing Method Using Bi-Directional Synchronization Chain Signals Open
The bistatic Interferometric Synthetic Aperture Radar (InSAR) system can overcome the physical limitations imposed by the baseline of monostatic dual-antenna InSAR. It provides greater flexibility and can enhance elevation measurement accu…
View article: A Robust Track Estimation Method for Airborne SAR Based on Weak Navigation Information and Additional Envelope Errors
A Robust Track Estimation Method for Airborne SAR Based on Weak Navigation Information and Additional Envelope Errors Open
As miniaturization technology has progressed, Synthetic Aperture Radar (SAR) can now be mounted on Unmanned Aerial Vehicles (UAVs) to carry out observational tasks. Influenced by airflow, UAVs inevitably experience deviations or vibrations…
View article: A Robust Super-resolution Gridless Imaging Framework for UAV-borne SAR Tomography
A Robust Super-resolution Gridless Imaging Framework for UAV-borne SAR Tomography Open
Synthetic aperture radar (SAR) tomography (TomoSAR) retrieves three-dimensional (3-D) information from multiple SAR images, effectively addresses the layover problem, and has become pivotal in urban mapping. Unmanned aerial vehicle (UAV) h…
View article: Global Polarimetric Synthetic Aperture Radar Image Segmentation with Data Augmentation and Hybrid Architecture Model
Global Polarimetric Synthetic Aperture Radar Image Segmentation with Data Augmentation and Hybrid Architecture Model Open
Machine learning and deep neural networks have shown satisfactory performance in the supervised classification of Polarimetric Synthetic Aperture Radar (PolSAR) images. However, the PolSAR image classification task still faces some challen…
View article: Unmanned Airborne Bistatic InSAR Data Processing Method Using Bi-Directional Synchronization Chain Signals
Unmanned Airborne Bistatic InSAR Data Processing Method Using Bi-Directional Synchronization Chain Signals Open
The dual-station Interferometric Synthetic Aperture Radar (InSAR) system can overcome the physical limitations imposed by the baseline of single-station dual-antenna InSAR. It provides greater flexibility and can enhance elevation measurem…
View article: Conceptual Study and Performance Analysis of Tandem Multi-Antenna Spaceborne SAR Interferometry
Conceptual Study and Performance Analysis of Tandem Multi-Antenna Spaceborne SAR Interferometry Open
Multi-baseline synthetic aperture radar interferometry (InSAR), capable of mapping 3D surface model with high precision, is able to overcome the ill-posed problem in the single-baseline InSAR. Current tandem SAR mission utilizes a two-stag…
View article: High-Resolution SAR Imaging Characteristics for Multiple Scattering of Rotating Targets
High-Resolution SAR Imaging Characteristics for Multiple Scattering of Rotating Targets Open
The rotation of targets in high-resolution synthetic aperture radar (SAR) images results in complex and nonlinear micro-Doppler modulation of SAR returns, exhibiting distinct and diverse imaging characteristics under different conditions. …