Junren Shi
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View article: Paraboloid of revolution crystal spectrometer for equal optical path and high spectral resolution
Paraboloid of revolution crystal spectrometer for equal optical path and high spectral resolution Open
We present an X-ray spectrometer for inertial confinement fusion (ICF) research, employing a paraboloid of revolution curved crystal geometry that simultaneously achieves: high spectral resolution, enhanced photon collection efficiency thr…
View article: DIFFUMA: High-Fidelity Spatio-Temporal Video Prediction via Dual-Path Mamba and Diffusion Enhancement
DIFFUMA: High-Fidelity Spatio-Temporal Video Prediction via Dual-Path Mamba and Diffusion Enhancement Open
Spatio-temporal video prediction plays a pivotal role in critical domains, ranging from weather forecasting to industrial automation. However, in high-precision industrial scenarios such as semiconductor manufacturing, the absence of speci…
View article: Sinusoidal spiral-bent crystal for high-resolution X-ray spectrometer: theory and implementation
Sinusoidal spiral-bent crystal for high-resolution X-ray spectrometer: theory and implementation Open
X-ray diagnosis technology predicated on crystal diffraction is a vital modality for garnering key parameters within the scope of X-ray spectroscopy diagnosis. Conventional spectrometers, such as cylindrically bent crystal, spherically ben…
View article: Exploring Spatial Feature Regularization in Deep-Learning-Based TomoSAR Reconstruction: A Preliminary Study and Performance Analysis
Exploring Spatial Feature Regularization in Deep-Learning-Based TomoSAR Reconstruction: A Preliminary Study and Performance Analysis Open
Array synthetic aperture radar (Array-SAR), also known as tomographic SAR (TomoSAR), has demonstrated significant potential for high-quality 3D mapping, particularly in urban areas.While deep learning (DL) methods have recently shown stren…
View article: High-Quality Short-Range Radar Imaging with Coprime Sampling
High-Quality Short-Range Radar Imaging with Coprime Sampling Open
Short-range imaging radar, with its all-day and all-weather perception capabilities, has gained considerable attention in emerging fields such as autonomous vehicle sensing and industrial robotic perception. However, compared to traditiona…
View article: Experimental Design for the Acute Toxicology Assessment of Nanoscale Ultrafine Materials Based on Virtual Simulation Experiments and A Diverse Interactive Blended Teaching Approach
Experimental Design for the Acute Toxicology Assessment of Nanoscale Ultrafine Materials Based on Virtual Simulation Experiments and A Diverse Interactive Blended Teaching Approach Open
The escalating production of nanoscale ultrafine materials has led to a greater release of nanoparticles into aquatic environments, raising concerns about their environmental impact and potential health risks. As a cross-disciplinary field…
View article: Environmental Interference Suppression by Hybrid Segmentation Algorithm for Open-Area Electromagnetic Capability Testing
Environmental Interference Suppression by Hybrid Segmentation Algorithm for Open-Area Electromagnetic Capability Testing Open
Compared with electromagnetic compatibility (EMC) testing in anechoic rooms, open-area EMC testing takes advantage of in situ and engine running status measurement but suffers from non-negligible external electromagnetic interference. This…
View article: Pruner: A Draft-then-Verify Exploration Mechanism to Accelerate Tensor Program Tuning
Pruner: A Draft-then-Verify Exploration Mechanism to Accelerate Tensor Program Tuning Open
Tensor program tuning is essential for the efficient deployment of deep neural networks. Search-based approaches have demonstrated scalability and effectiveness in automatically finding high-performance programs for specific hardware. Howe…
View article: CFAR-DP-FW: A CFAR-Guided Dual-Polarization Fusion Framework for Large-Scene SAR Ship Detection
CFAR-DP-FW: A CFAR-Guided Dual-Polarization Fusion Framework for Large-Scene SAR Ship Detection Open
Effective ship detection in synthetic aperture radar (SAR) imagery is crucial for maritime safety and surveillance. Despite the advancements in deep learning for SAR ship detection, significant challenges remain, particularly in large scen…
View article: Deep Unfolding Network with Spatial Alignment for multi-modal MRI reconstruction
Deep Unfolding Network with Spatial Alignment for multi-modal MRI reconstruction Open
Multi-modal Magnetic Resonance Imaging (MRI) offers complementary diagnostic information, but some modalities are limited by the long scanning time. To accelerate the whole acquisition process, MRI reconstruction of one modality from highl…
View article: Multi-Scale Prototypical Transformer for Whole Slide Image Classification
Multi-Scale Prototypical Transformer for Whole Slide Image Classification Open
Whole slide image (WSI) classification is an essential task in computational pathology. Despite the recent advances in multiple instance learning (MIL) for WSI classification, accurate classification of WSIs remains challenging due to the …
View article: Joint autofocus and registration for video-SAR by using sub-aperture point cloud
Joint autofocus and registration for video-SAR by using sub-aperture point cloud Open
Due to the existence of antenna phase center (APC) error, drift occurs on the sequence of images acquired by video-SAR back projection (BP) algorithm with respect to a fixed coordinate system. Theoretical analysis shows that the drift is d…
View article: Scale in Scale for SAR Ship Instance Segmentation
Scale in Scale for SAR Ship Instance Segmentation Open
Ship instance segmentation in synthetic aperture radar (SAR) images can provide more detailed location information and shape information, which is of great significance for port ship scheduling and traffic management. However, there is lit…
View article: 3-D SAR Imaging via Perceptual Learning Framework With Adaptive Sparse Prior
3-D SAR Imaging via Perceptual Learning Framework With Adaptive Sparse Prior Open
Mathematically, 3-D synthetic aperture radar (SAR) imaging is a typical inverse problem, which, by nature, can be solved by applying the theory of sparse signal recovery. However, many reconstruction algorithms are constructed by exploring…
View article: A Group-Wise Feature Enhancement-and-Fusion Network with Dual-Polarization Feature Enrichment for SAR Ship Detection
A Group-Wise Feature Enhancement-and-Fusion Network with Dual-Polarization Feature Enrichment for SAR Ship Detection Open
Ship detection in synthetic aperture radar (SAR) images is a significant and challenging task. However, most existing deep learning-based SAR ship detection approaches are confined to single-polarization SAR images and fail to leverage dua…
View article: CTV-Net: Complex-Valued TV-Driven Network With Nested Topology for 3-D SAR Imaging
CTV-Net: Complex-Valued TV-Driven Network With Nested Topology for 3-D SAR Imaging Open
The regularization-based approaches offer promise in improving synthetic aperture radar (SAR) imaging quality while reducing system complexity. However, the widely applied l1 regularization model is hindered by their hypothesis of inherent…
View article: CARNet: An effective method for SAR image interference suppression
CARNet: An effective method for SAR image interference suppression Open
Synthetic aperture radar (SAR) routinely confronts the interference of radiofrequency devices in normal missions, causing ineffective imaging and seriously affecting Earth observation capability. In general, it is a great challenge to ensu…
View article: Target-Oriented High-Resolution and Wide-Swath Imaging with an Adaptive Receiving–Processing–Decision Feedback Framework
Target-Oriented High-Resolution and Wide-Swath Imaging with an Adaptive Receiving–Processing–Decision Feedback Framework Open
High-resolution and wide-swath (HRWS) synthetic aperture radar (SAR) is a promising technique for applications such as maritime surveillance. In the maritime environment, normally only a few targets such as ships are interested. However, b…
View article: S2-PCM: Super-Resolution Structural Point Cloud Matching for High-Accuracy Video-SAR Image Registration
S2-PCM: Super-Resolution Structural Point Cloud Matching for High-Accuracy Video-SAR Image Registration Open
In this paper, the super-resolution structural point cloud matching (S2-PCM) framework is proposed for video synthetic aperture radar (SAR) inter-frame registration, which consists of a feature recurrence super-resolution network (FRSR-Net…
View article: A Sparse-Model-Driven Network for Efficient and High-Accuracy InSAR Phase Filtering
A Sparse-Model-Driven Network for Efficient and High-Accuracy InSAR Phase Filtering Open
Phase filtering is a vital step for interferometric synthetic aperture radar (InSAR) terrain elevation measurements. Existing phase filtering methods can be divided into two categories: traditional model-based and deep learning (DL)-based.…
View article: Nonlocal Feature Selection Encoder–Decoder Network for Accurate InSAR Phase Filtering
Nonlocal Feature Selection Encoder–Decoder Network for Accurate InSAR Phase Filtering Open
Accurate interferometric phase filtering is an essential step in InSAR data processing. The existing deep learning-based phase-filtering methods were developed based on local neighboring pixels and only use local phase information. The ide…
View article: A High-Precision Motion Errors Compensation Method Based on Sub-Image Reconstruction for HRWS SAR Imaging
A High-Precision Motion Errors Compensation Method Based on Sub-Image Reconstruction for HRWS SAR Imaging Open
High-resolution wide-swath (HRWS) synthetic aperture radar (SAR) plays an important role in remote sensing observation. However, the motion errors caused by the carrier platform’s instability severely degrade the performance of the HRWS SA…
View article: Efficient Instance Segmentation Paradigm for Interpreting SAR and Optical Images
Efficient Instance Segmentation Paradigm for Interpreting SAR and Optical Images Open
Instance segmentation in remote sensing images is challenging due to the object-level discrimination and pixel-level segmentation for the objects. In remote sensing applications, instance segmentation adopts the instance-aware mask, rather…
View article: 3-D SAR Autofocusing With Learned Sparsity
3-D SAR Autofocusing With Learned Sparsity Open
Inevitable inaccuracies of 3-D synthetic aperture radar (3-D SAR) imaging geometry may cause undesired blurs in reconstructed images. Recent advances show impressive results in integrating error estimation into sparse imaging. However, the…
View article: A Robust InSAR Phase Unwrapping Method via Phase Gradient Estimation Network
A Robust InSAR Phase Unwrapping Method via Phase Gradient Estimation Network Open
Phase unwrapping is a critical step in synthetic aperture radar interferometry (InSAR) data processing chains. In almost all phase unwrapping methods, estimating the phase gradient according to the phase continuity assumption (PGE-PCA) is …
View article: A Novel Guided Anchor Siamese Network for Arbitrary Target-of-Interest Tracking in Video-SAR
A Novel Guided Anchor Siamese Network for Arbitrary Target-of-Interest Tracking in Video-SAR Open
Video synthetic aperture radar (Video-SAR) allows continuous and intuitive observation and is widely used for radar moving target tracking. The shadow of a moving target has the characteristics of stable scattering and no location shift, m…
View article: A Flexible Region of Interest Extraction Algorithm with Adaptive Threshold for 3-D Synthetic Aperture Radar Images
A Flexible Region of Interest Extraction Algorithm with Adaptive Threshold for 3-D Synthetic Aperture Radar Images Open
Most of the existing image segmentation methods have a strong anti-noise ability but are susceptible to the interference in the background, so they are not suitable for 3-D synthetic aperture radar (SAR) image target extraction. Region of …