A5068173681- Advanced Optical Sensing Technologies
- Random lasers and scattering media
- Optical Coherence Tomography Applications
- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Ocular and Laser Science Research
- Stability and Control of Uncertain Systems
- Optical Systems and Laser Technology
- Remote Sensing and LiDAR Applications
- Advanced Memory and Neural Computing
- Model Reduction and Neural Networks
- Optical measurement and interference techniques
- Advanced Fluorescence Microscopy Techniques
- Neural Networks Stability and Synchronization
- Advanced Fiber Laser Technologies
- Photoacoustic and Ultrasonic Imaging
- Digital Filter Design and Implementation
- Image and Signal Denoising Methods
- Smart Grid Energy Management
- Smart Grid Security and Resilience
- Topological Materials and Phenomena
- Supercapacitor Materials and Fabrication
- Astrophysical Phenomena and Observations
- Digital Holography and Microscopy
Central South University
2025
Purple Mountain Laboratories
2021-2024
Zhengzhou University
2022-2024
National University of Defense Technology
2023-2024
National Supercomputing Center in Wuxi
2024
Ministry of Education of the People's Republic of China
2021-2024
Nanyang Technological University
2024
Fuzhou University
2023
Shanghai Jiao Tong University
2023
State Power Investment Corporation (China)
2022
Passive non-line-of-sight (NLOS) imaging is a promising technique to enhance visual perception for the occluded object hidden behind wall. Here we present data-driven NLOS framework by using polarization cue and long-wavelength infrared (LWIR) images. We design dual-channel input deep neural network fuse intensity features from polarized LWIR images contour degree scene reconstruction. To train model, create dataset which contains over ten thousand The paper demonstrates passive experiment...
Imaging through the fog is valuable for many areas, such as autonomous driving and cosmic exploration. However, due to influence of strong backscattering diffuse reflection generated by dense on temporal-spatial correlations photons returning from target object, reconstruction quality most existing methods significantly reduced under conditions. In this study, we describe optical scatter imaging process propose a physics-driven Swin Transformer method utilizing Time-of-Flight (ToF) Deep...
Abstract This paper presents an efficient scheme for single-pixel imaging (SPI) utilizing a phase-controlled fiber laser array and untrained deep neural network. The lasers are arranged in compact hexagonal structure coherently combined to generate illuminating light fields. Through the utilization of high-speed electro-optic modulators each individual module, randomly modulated enables rapid speckle projection onto object interest. Furthermore, network is incorporated into image...
We report the observation of a light-induced subpicosecond phase transition in antiferromagnetic Dirac semimetal EuAgAs, achieved through ultrafast optical excitation. Using spectroscopy, we probe nonequilibrium carrier dynamics, discovering distinct fluence-dependent responses and paramagnetic states, revealing possible magnetic order-driven between different topological states. Our results demonstrate that with its highly tunable structure, possibly offers unique platform for exploring...
Passive non-line-of-sight (NLOS) imaging has potential applications in autonomous driving and search rescue, but current deep learning approaches often produce suboptimal images due to sparse homogeneous projection features, leading an ill-posed reconstruction process. To address this, we propose the Hyperspectral Fusion NLOS technique (HFN-Net), which first leverages high-dimensional features from multiple spectra incorporates spatial-spectral attention a hyperspectral full-color...
The single-pixel imaging (SPI) technique illuminates the object through a series of structured light fields and detects intensity with detector (SPD). However, detection process introduces considerable amount unavoidable white noise, which has detrimental effect on image quality limits applicability SPI. In this paper, we combine untrained attention U-Net SPI model to reduce noise achieve high-quality at low sampling rates. advantage not requiring pre-training for better generalization....
We propose a Fermat spiral laser array as illumination source in ghost imaging. Due to the aperiodic structure, generates illuminating light field without spatial periodicity on normalized second-order intensity correlation function. A single-pixel detector is used receive signal from object for image reconstruction. The effects of parameters quality imaging are analyzed comprehensively. Through experimental demonstration, successfully achieves with high by combining compressive sensing...
We have demonstrated a frequency-stepped pulse train (FSPT) generation system enabling direct oxygen A-band spectroscopy in the time domain. The FSPT is formed by circulating initial single-frequency pulses at ~1529.5 nm an amplified frequency-shifted loop (AFSL). An with up to 80 equidistant optical frequencies can be generated frequency spacing of 200 MHz this configuration. fundamental wavelength then doubled ~764.75 nm, covering one absorption peak A-band, for proof-of-principle...
An efficient and noise-resistant single-pixel imaging (SPI) technique based on Pseudo-Zernike moments (PZ-SPI) is proposed. In this technique, the illumination light fields are modulated to satisfy polynomials. Then projected onto object. And detector used measure reflected intensities calculate moments. Finally, object image reconstructed by iterative summation of product polynomials Through numerical simulation experimental demonstration, PZ-SPI can effectively reconstruct at low sampling...
Abstract Despite their exceptional sensitivity, single photon detectors typically exhibit limited tolerance to strong light compared conventional linear photodetectors. Consequently, a disparity arises between these two detector types, hindering the achievement of both high sensitivity and dynamic range in sensing imaging. To bridge this gap, segmented architecture is implemented with waveform‐variance readout scheme for extacting high‐flux informaiton.This approach gives an unprecedented...
The spatial and temporal evolution of the absolute electron densities temperatures in plasmas formed by nanosecond pulsed laser ablation silicon vacuum at two wavelengths (1064 532 nm), similar irradiances, have been explored complementary simulation (using combined hydrodynamic adiabatic models) experiment. Modelling laser-target laser-plume interactions with POLLUX code reveals evolving composition dynamics induced plasma (LIP) during incident pulse: nm irradiation causes more ablation,...
Current range-gated imaging methods based on triangular or trapezoidal models face significant limitations in terms of the accuracy and precision three-dimensional (3D) reconstruction. Here, we establish a 3D super-resolution image reconstruction method Gaussian-range-intensity model. A denoised optimization for preprocessing is established to improve distance The experimental results show that model can reduce error target by 64% possess multiple kinds targets with resolution 1.5 cm lower...
Limited by the number of illumination fields and speed a spatial light modulator, single-pixel imaging (SPI) cannot realize real-time fast classification an object. In this paper, we proposed circular harmonic Fourier (CHF-SPI) for first time to objects. The field distribution satisfies formula, intensity values detector are equivalent moments. Then target can be reconstructed under low sampling ratio inverse transformation. Through simulation experimental verification, clear performed at...
Photon number resolving (PNR) is an important capacity for detectors working in quantum and classical applications. Although a conventional superconducting nanowire single-photon detector (SNSPD) not PNR detector, by arranging nanowires series array multiplexing photons over space, such PNR-SNSPD can gain quasi-PNR capacity. However, the accuracy maximum resolved photon are both limited signal-to-noise ratio (SNR) of output pulses. Here, we introduce matched filter, which optimal filter...
Emerging Non-Volatile Memories (NVMs) possess unique features including byte-addressability, non-volatility and DRAM-like performance, while consistency persistency are the two main concerns when using NVM. Transaction persistent memory mechanism is proposed widely-used for its fast atomic operation to achieve simultaneously in However, transaction cost NVM comparatively huge reasons still puzzles. In this paper, we empirically study performance of by transaction-related part NVML library...
Scaling up superconducting nanowire single-photon detectors (SNSPDs) into a large array for imaging applications is the current pursuit. Although various readout architectures have been proposed, they cannot resolve multiple-photon detections (MPDs) currently, which limits operation of SNSPD arrays at high photon flux. In this study, we focused on ambiguity imager applying time-of-flight multiplexing readout. The results showed that image distortion depended both incident flux and object. By...