2025

• Record 13 of
  
  Title:Variable-Parameter Impedance Control of Manipulator Based on RBFNN and Gradient Descent
  
  Author Full Names:Li, Linshen(1,2,3); Wang, Fan(1,3); Tang, Huilin(1,2,3); Liang, Yanbing(1,3)

  Source Title:Sensors

  Language:English

  Document Type:Journal article (JA)

  Abstract:During the interaction process of a manipulator executing a grasping task, to ensure no damage to the object, accurate force and position control of the manipulator’s end-effector must be concurrently implemented. To address the computationally intensive nature of current hybrid force/position control methods, a variable-parameter impedance control method for manipulators, utilizing a gradient descent method and Radial Basis Function Neural Network (RBFNN), is proposed. This method employs a position-based impedance control structure that integrates iterative learning control principles with a gradient descent method to dynamically adjust impedance parameters. Firstly, a sliding mode controller is designed for position control to mitigate uncertainties, including friction and unknown perturbations within the manipulator system. Secondly, the RBFNN, known for its nonlinear fitting capabilities, is employed to identify the system throughout the iterative process. Lastly, a gradient descent method adjusts the impedance parameters iteratively. Through simulation and experimentation, the efficacy of the proposed method in achieving precise force and position control is confirmed. Compared to traditional impedance control, manual adjustment of impedance parameters is unnecessary, and the method can adapt to tasks involving objects of varying stiffness, highlighting its superiority. © 2024 by the authors.

  Affiliations:(1) Xi’an Institute of Optics and Precision Mechanics of CAS, Xi’an; 710119, China; (2) School of Optoelectronics, University of Chinese Academy of Sciences, Beijing; 100049, China; (3) Key Laboratory of Space Precision Measurement Technology of CAS, Xi’an; 710119, China

  Publication Year:2025

  Volume:25

  Issue:1

  Article Number:49

  DOI Link:10.3390/s25010049

  数据库ID（收录号）:20250217667306
• Record 14 of
  
  Title:Feature enhanced non-line-of-sight imaging using graph model in latent space
  
  Author Full Names:Xu, Weihao(1,2); Chen, Songmao(1,3); Wang, Dingjie(1,2); Tian, Yuyuan(1,2); Zhang, Ning(4); Hao, Wei(1,2); Su, Xiuqin(1,2,3)

  Source Title:Optics and Laser Technology

  Language:English

  Document Type:Journal article (JA)

  Abstract:Non-line-of-sight (NLoS) imaging reveals hidden scene from indirect diffusion signals. However, it is still challenging to balance noise suppression, detail preservation, and reconstruction efficiency. In this work, a robust framework which is centered on feature extractor and enhancement is proposed. In the framework, the feature extractor exploits the graph model in latent space for efficient noise suppression and detail preservation, the enhancement collaboratively learns the feature and data statistics by considering the extractor to define regularization. The reconstruction results on the publicly accessible datasets show that the proposed framework outperforms the state-of-art methods considering both quality and efficiency. © 2024

  Affiliations:(1) Key Laboratory of Space Precision Measurement Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; (2) University of Chinese Academy of Sciences, Beijing; 100049, China; (3) Pilot National Laboratory for Marine Science and Technology, Qingdao; 266237, China; (4) Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China

  Publication Year:2025

  Volume:181

  Article Number:111538

  DOI Link:10.1016/j.optlastec.2024.111538

  数据库ID（收录号）:20243717012979
• Record 15 of
  
  Title:The Influence of Optical Dilution Effect for Spaceborne Wind Measurement on O2 Near Infrared Airglow
  
  Author Full Names:Li, Hao-Tian(1); Li, Fa-Quan(2); Li, Juan(3); Wang, Hou-Mao(4); Wu, Kui-Jun(1); He, Wei-Wei(1)

  Source Title:Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis

  Language:Chinese

  Document Type:Journal article (JA)

  Abstract:Measurement of the Doppler shift information of the O2 (a1 Ag) day glow using the satellite-borne spectral imaging interferometer is currently the state-of-the-art technological means to realize the detection of the atmospheric wind field in the global adjacent space. Observing the Doppler shift of the spectral line O19P18 (7 772. 030 cm-1) allows high-precision and high-sensitivity wind speed measurements in the 40 — 80 km spatial region. However, the specific effect of atmospheric scattering on its detection precision is unknown. This paper aims to quantitatively assess wind measurement errors due to the optical dilution effect. First, the spectral properties of the 02(a'Ag) spectrum and the atmospheric scattering spectrum are introduced. The contributions of different reaction mechanisms of ()2 (a1 Ag) were calculated using the latest HITRAN spectral parameters, photochemical reaction rate constants, and NRLMSIS 2020. The volume emission rate (VER) of 02(a'Ag) was calculated based on the photochemical reaction rate, and the effect of the solar zenith angle on the VER distribution was analyzed. Spectral radiation models of OzCa'Ag) at different temperatures and self-absorption effects were obtained based on the Einstein coefficient and spectral line intensity, respectively. The effects of different geographical and meteorological factors on the atmospheric scattering spectrum were also analyzed. Secondly, the principles of the measurement technique of the Doppler Asymmetrie Spatial Heterodyne spectroscopy (DASH) for limb-viewing are introduced. Describes removing the atmospheric scattering component to produce a pure airglow interferogram. The forward process for acquiring interferometric images is explained based on the DASH instrument coneept. Thirdly, the "onion peeling" algorithm was introduced for the retrieval problem. The contribution of the atmosphere above the target layer is eliminated while considering the influence of the self-absorption and optical dilution effects. The problem of extracting target layer information in interferometric images is solved. Finally, the atmospheric wind field detection precision profiles and their changing laws with the influence of geographical and meteorological factors are obtained by error analysis. It is demonstrated that the optical dilution effect reduces the interferogram visibility and increases the measurement noise, adversely affecting the limb-viewing weights and the effective signal-to-noise ratio. In the tangent altitude ränge of 45 — 80 km, the wind measurement precision is less affected by atmospheric scattering, with an error of about 2 — 3 m • s_1. Below 45 km, the wind measurement precision is affected by the optical dilution effect that increases sharply with decreasing altitude and is significantly increased by the surface albedo, aerosol, and cloud. When the effects of all three factors are considered simultaneously, the minimum lower detection limit is about 40 km. © 2025 Science Press. All rights reserved.

  Affiliations:(1) College of Physics and Electronic Information, Yantai University, Yantai; 264005, China; (2) Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan; 430071, China; (3) Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; (4) National Space Science Center, Chinese Academy of Sciences, Beijing; 100190, China

  Publication Year:2025

  Volume:45

  Issue:1

  Start Page:160-169

  DOI Link:10.3964/j.issn.1000-0593(2025)01-0160-10

  数据库ID（收录号）:20250117639543
• Record 16 of
  
  Title:Long-term stable timing fluctuation correction for a picosecond laser with attosecond-level accuracy
  
  Author Full Names:Li, Hongyang(1,2,3); Liu, Keyang(4); Tian, Ye(2,3); Song, Liwei(2,3)

  Source Title:High Power Laser Science and Engineering

  Language:English

  Document Type:Journal article (JA)

  Abstract:Rapid advancements in high-energy ultrafast lasers and free electron lasers have made it possible to obtain extreme physical conditions in the laboratory, which lays the foundation for investigating the interaction between light and matter and probing ultrafast dynamic processes. High temporal resolution is a prerequisite for realizing the value of these large-scale facilities. Here, we propose a new method that has the potential to enable the various subsystems of large scientific facilities to work together well, and the measurement accuracy and synchronization precision of timing jitter are greatly improved by combining a balanced optical cross-correlator (BOC) with near-field interferometry technology. Initially, we compressed a 0.8 ps laser pulse to 95 fs, which not only improved the measurement accuracy by 3.6 times but also increased the BOC synchronization precision from 8.3 fs root-mean-square (RMS) to 1.12 fs RMS. Subsequently, we successfully compensated the phase drift between the laser pulses to 189 as RMS by using the BOC for pre-correction and near-field interferometry technology for fine compensation. This method realizes the measurement and correction of the timing jitter of ps-level lasers with as-level accuracy, and has the potential to promote ultrafast dynamics detection and pump-probe experiments. © The Author(s), 2025.

  Affiliations:(1) School of Physics Science and Engineering, Tongji University, Shanghai, China; (2) State Key Laboratory of High Field Laser Physics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, China; (3) Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, China; (4) XIOPM Center for Attosecond Science and Technology, State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China

  Publication Year:2025

  Volume:12

  Article Number:e89

  DOI Link:10.1017/hpl.2024.74

  数据库ID（收录号）:20250517789309
• Record 17 of
  
  Title:MTNet: Multimodal transformer network for mild depression detection through fusion of EEG and eye tracking
  
  Author Full Names:Zhu, Feiyu(1,2,3); Zhang, Jing(4); Dang, Ruochen(1,2,3); Hu, Bingliang(3); Wang, Quan(1,3)

  Source Title:Biomedical Signal Processing and Control

  Language:English

  Document Type:Journal article (JA)

  Abstract:With the increasing multimodality of biomedical data, data fusion has been widely utilized in depression research, in response to the significant rise in the incidence of depression. In our study, we propose a novel multimodal transformer network (MTNet) that integrates eye tracking with EEG data for depression detection. The MTNet effectively captures both local and global spatio-temporal characteristics of multimodal data, utilizing the global receptive field of the transformer model to capture the long-term dependencies within the data. Results confirmed that our proposed MTNet surpasses the feature-based fusion and other baseline models, with a classification accuracy of 91.79 %, which highlights the potential value of multimodal fusion with biological signals in depression detection. Moreover, we specifically concentrate on the fusion stage in multimodal fusion, carrying out analysis for early, intermediate, and late fusion respectively. Our study demonstrates that intermediate fusion yields superior performance in processing EEG and eye tracking data, effectively adapting to the heterogeneity of multimodal data. © 2024 Elsevier Ltd

  Affiliations:(1) Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, Xi’ An; 710119, China; (2) University of Chinese Academy of Sciences, Beijing; 100049, China; (3) Key Laboratory of Biomedical Spectroscopy of Xi’ An, Xi'an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, Xi’ An; 710119, China; (4) Science and Technology on Complex Aviation Systems Simulation Laboratory, Beijing; 100076, China

  Publication Year:2025

  Volume:100

  Article Number:106996

  DOI Link:10.1016/j.bspc.2024.106996

  数据库ID（收录号）:20244117178175
• Record 18 of
  
  Title:Proof of the Equivalence between Two-Frame and Three-Frame Optical Sectioning Structured Illumination Microscopy
  
  Author Full Names:Ma, Rui(1,2); Qian, Jia(1); Li, Xing(1,2); Wang, Siying(1,2); Bai, Chen(1); Yu, Xianghua(1); Dai, Taiqiang(3,4); Kong, Liang(3,4); Dan, Dan(1); Yao, Baoli(1,2)

  Source Title:SSRN

  Language:English

  Document Type:Preprint (PP)

  Abstract:Structured illumination microscopy (SIM) is capable of optical sectioning (OS), facilitating easy 3D imaging. It normally illuminates samples with three-frame of equi-phase-shifted fringe patterns and then reconstructs an OS image with the Root-Mean-Square (RMS) algorithm. To increase the OS efficiency, two-frame-based OS-SIMs, such as HiLo and SHT schemes, have been developed. However, a trade-off must be made when choosing these OS-SIM algorithms regarding the amount of raw data, the empirical factor determination and adjustment, and the artifacts. In this paper, we propose a two-frame-based OS-SIM method that uses both a fringe and a uniform illumination image, termed the FUIHT method. It has the same raw data as the HiLo microscopy but a different data processing algorithm. FUIHT intrinsically avoids the empirical factor determination and adjustment in HiLo microscopy. Importantly, we have proved that FUIHT is completely equivalent to the RMS method in mathematics. Both simulation and experimental studies validate that FUIHT can output higher-fidelity optically sectioned images as the RMS, with faster reconstruction speed than the HiLo microscopy. To our knowledge, this finding bridges the normal RMS-based OS-SIM and the HiLo microscopy for the first time. We expect the FUIHT method to enable the OS-SIM to be more efficient, rapid, accurate, and robust in 3D imaging. © 2025, The Authors. All rights reserved.

  Affiliations:(1) State Key Laboratory of Ultrafast Optical Science and Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'An; 710119, China; (2) University of Chinese Academy of Sciences, Beijing; 100049, China; (3) State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, The Fourth Military Medical University, Xi'An; 710032, China; (4) Air Force Medical University, China

  Publication Year:2025

  DOI Link:10.2139/ssrn.5104609

  数据库ID（收录号）:20250043846
• Record 19 of
  
  Title:Interpretable data-driven chemometric approach for predicting non-optically active water quality parameters using ultraviolet-visible-near infrared absorption spectroscopy and physical-chemical measurements
  
  Author Full Names:Zhao, Yubo(1,2); Zhang, Zhou(3); Hu, Bingliang(1); Liu, Jiacheng(1); Wang, Xueji(1); Zou, Lei(4); Yu, Tao(1)

  Source Title:Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy

  Language:English

  Document Type:Journal article (JA)

  Abstract:Non-optically active water quality parameters (NAWQPs) are essential for surface water quality assessments, although automated monitoring methods are time-consuming, include labor-intensive chemical pretreatment, and pose challenges for high spatiotemporal resolution monitoring. Advancements in spectroscopic techniques and machine learning may address these issues. We integrated ultraviolet–visible-near infrared absorption spectroscopy with physical-chemical measurements to predict total nitrogen (TN), dissolved oxygen (DO), and total phosphorus (TP) in the Yangtze River Basin, China. By combining the eXtreme Gradient Boosting algorithm with OPTUNA hyperparameter optimization and the SHapley Additive exPlanations interpretability framework, we developed an algorithm that yielded Nash–Sutcliffe efficiency values of 0.944, 0.934, and 0.835, and mean absolute percentage errors of 7.8 %, 8.2 %, and 7.7 % for TN, DO, and TP, respectively. The UV spectrum was significant in the NAWQPs prediction tasks. Our study offers a novel approach to water quality monitoring and resource management in complex aquatic environments. © 2025 Elsevier B.V.

  Affiliations:(1) Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; (2) University of Chinese Academy of Sciences, Beijing; 100049, China; (3) Biological Systems Engineering, University of Wisconsin–Madison, Madison; WI; 53706, United States; (4) Key Laboratory of Water Cycle & Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing; 100101, China

  Publication Year:2025

  Volume:331

  Article Number:125768

  DOI Link:10.1016/j.saa.2025.125768

  数据库ID（收录号）:20250517781517
• Record 20 of
  
  Title:Landsat monitoring reveals the history of river organic pollution across China during 1984–2023
  
  Author Full Names:Yan, Nuoxiao(1,2,3); Qiu, Zhiqiang(4,5); Zhang, Chenxue(1,2,3); Yan, Yao(1,2,3); Liu, Dong(1,2)

  Source Title:Water Research

  Language:English

  Document Type:Journal article (JA)

  Abstract:River organic pollution exhibits pronounced spatiotemporal dynamics in response to environmental changes. However, the traditional method of tracking chemical oxygen demand (COD) and/or other organic pollution indicators at fixed locations over expansive regions is labor-intensive, time-consuming, and inadequate for achieving full spatial coverage. To address this limitation, here we developed a Random Forest algorithm using Landsat satellite data in conjunction with sub-daily (every 4 h) COD data at 1,997 sites across China. The proposed model achieved high accuracy, with a root mean square error of 0.52 mg/L and a mean absolute percent difference of 13.01 %. Additionally, the model was robust across clear, algae-laden, turbid, and black-smelling waters. Then, the algorithm was applied to investigate the spatiotemporal variations of COD concentration in Chinese rivers during 1984–2023. Across China, high river COD concentrations were observed in the eastern Songliao (3.56 ± 1.11 mg/L), Haihe (3.00 ± 0.89 mg/L), and Huaihe (3.57 ± 0.67 mg/L) basins. Anthropogenic activities could explain 79.39 % of the spatial variability in COD concentrations, and the cropland distribution had a significant impact. During 1984–2023, 73.58 % of China's rivers exhibited significant changes in COD concentrations (p © 2025 Elsevier Ltd

  Affiliations:(1) Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing; 210008, China; (2) State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing; 210008, China; (3) University of Chinese Academy of Sciences, Beijing; 100049, China; (4) College of Urban and Environmental Sciences, Northwest University, Xi'an; 710127, China; (5) Key Laboratory of Spectral Imaging Technology of CAS, Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences, Xi'an; 710119, China

  Publication Year:2025

  Volume:275

  Article Number:123210

  DOI Link:10.1016/j.watres.2025.123210

  数据库ID（收录号）:20250517792396
• Record 21 of
  
  Title:Design and development of a stand-off Raman brassboard (SDU-RRS) for the spectroscopic study of planetary materials
  
  Author Full Names:Qi, Xiaobin(1); Liu, Ping(1); Qu, Hongkun(1); Liu, Changqing(1); Bao, Gang(1); Wang, Xiaoyu(1); Liu, Yiheng(1); Xin, Yanqing(1); Cao, Haijun(1); Chen, Jian(1); Xiao, Ayang(1); Zhao, Yiyi(2); Xue, Bin(2); Xu, Weiming(3); Shu, Rong(3); Ling, Zongcheng(1,4)

  Source Title:Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy

  Language:English

  Document Type:Journal article (JA)

  Abstract:Raman spectroscopy has emerged as a crucial mineral analysis technique in planetary surface exploration missions. Nonetheless, the inherently low Raman scattering efficiency of planetary silicate materials makes it challenging to extract enough Raman information. Theoretical and experimental studies of the remote Raman scattering properties of planetary materials are also urgent requirements for future lunar and planetary explorations. Here, Shandong University Remote Raman Spectrometer (SDU-RRS) was developed to demonstrate the feasibility of lunar remote Raman technology and conduct preliminary research on remote Raman scattering properties. SDU-RRS utilizes a pulsed 532 nm laser, a non-focal Cassegrain telescope, a volume phase holographic grating, an intensified charge-coupled device, and the time-gating technique to detect weak-signal silicate minerals. The spectral resolution obtained with atomic emission lamps was −1, and the wavelength accuracy was −1, across the spectral range of 241–2430 cm−1. SDU-RRS can detect natural augite within a feldspar-olivine-augite matrix at a concentration of 20 % at ∼1 m under ambient lighting conditions. A series of experiments were conducted to evaluate the influence of measurement conditions and physical matrix effects on acquired Raman signals, either qualitatively or quantitatively, on geological materials. The study indicates that the transmission of Raman-scattered light conforms to Lambert's cosine law, and a linear correlation exists between Raman intensity and laser power. The study also evaluated the impact of grain size, surface roughness, porosity, and shadow-hiding effects. Reducing grain size decreases Raman intensity and broadens Raman spectra. These characteristics are essential for achieving definitive mineralogical information from granular materials by remote Raman spectroscopy in lunar and planetary explorations. © 2024 Elsevier B.V.

  Affiliations:(1) Shandong Key Laboratory of Optical Astronomy and Solar-Terrestrial Environment, School of Space Science and Physics, Institute of Space Sciences, Shandong University, Shandong, Weihai; 264209, China; (2) Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Shanxi, Xi'an; 710119, China; (3) Key Laboratory of Space Active Opto-electronics Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai; 200083, China; (4) CAS Center for Excellence in Comparative Planetology, Chinese Academy of Sciences, Hefei; 230026, China

  Publication Year:2025

  Volume:325

  Article Number:125026

  DOI Link:10.1016/j.saa.2024.125026

  数据库ID（收录号）:20243616971923
• Record 22 of
  
  Title:Fabrication of Sb2S3@In2Se3 heterojunction photocathodes with [hk1] dominant orientation towards photoelectrochemical water splitting
  
  Author Full Names:Ma, Zhen(1); Wei, Xueling(1); Yang, Yuanhao(1); Li, Qiujie(1); Wang, Yishan(2); Liu, Enzhou(3); Miao, Hui(1)

  Source Title:Separation and Purification Technology

  Language:English

  Document Type:Journal article (JA)

  Abstract:Nowadays, energy shortage and environmental problems are gradually becoming a pressing issue, so the development of environmentally friendly energy has attracted the attention of a large number of researchers. In this work, Sb2S3 nanorods (NRs) with [hk1] dominant orientation were prepared by vapor transport deposition (VTD) method to form a fast carrier transport channel. Then, In2Se3 was coated on the surface of Sb2S3 using low-cost Na2SeSO3 as the selenium source, while retaining the dominant orientation of Sb2S3. The formed type-Ⅱ Sb2S3@In2Se3-annealed heterojunction with quasi-one-dimensional rod-like structure could effectively facilitate the carrier separation and transportation. To some extent, it weakens the drawbacks of severe recombination of photogenerated carriers due to deep energy level defects in Sb2S3. The photocurrent density of the composite photocathode under 0 V vs. RHE is about 2.9 mA/cm2, which is 22 times higher than that of the pure Sb2S3 monomer, and results in the effective inhibition of the dark current and transient spikes of the Sb2S3 monomer. It shows good stability in the switching light test within 210 s, small charge transfer resistance, and high charge separation and injection efficiency. In a word, this study provides a new insight into the preparation of Sb2S3 based quasi-one-dimensional heterojunction via the VTD process combined in-situ hydrothermal method to obtain promising photoelectrochemical (PEC) water splitting photoelectrodes. © 2024

  Affiliations:(1) School of Physics, Northwest University, Xi'an; 710127, China; (2) State Key Laboratory of Transient Optics and Photonics, Chinese Academy of Sciences, Xi'an; 710119, China; (3) School of Chemical Engineering, Northwest University, Xi'an; 710127, China

  Publication Year:2025

  Volume:354

  Article Number:129135

  DOI Link:10.1016/j.seppur.2024.129135

  数据库ID（收录号）:20243316874863
• Record 23 of
  
  Title:An on-machine measurement and calibration method for incident laser error in dual-swing laser heads
  
  Author Full Names:Jiang, Hao(1,2); Ma, Caiwen(1); Li, Ming(1); Li, Chenchen(1)

  Source Title:Optics and Lasers in Engineering

  Language:English

  Document Type:Journal article (JA)

  Abstract:The dual-swing laser head is essential for five-axis laser machining, yet its precision is greatly affected by the incident laser beam. Any positional or angular deviation in the laser can cause the focus spot position of the head to change continuously during rotation, thereby severely compromise the manufacturing performance of the head. However, the current calibration methods for the incident beam of dual-swing laser heads have issues with low accuracy and insufficient engineering applicability. This paper proposes an on-machine measurement and calibration method for incident laser error in dual-swing laser heads. An error model for the incident beam with a dual-swing laser head was established, from which the law of spot position changes caused by incident beam errors during the head's rotation was derived. Subsequently, following this law, a precision calibration method for the laser head's incident beam error was proposed, based on the theory of optical image height. Afterwards, an on-machine error measurement system was established on the dual-swing laser head, and the calibration method was verified through experiments. The results show that the use of this calibration method can improve the accuracy of the incident beam for dual-swing laser head to 0.071 mm, which is approximately 3–4 times better than traditional calibration methods, thereby significantly enhancing the manufacturing precision of the laser head. © 2024 Elsevier Ltd

  Affiliations:(1) State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 10068, China; (2) University of Chinese Academy of Science, Beijing, 100049, China

  Publication Year:2025

  Volume:184

  Article Number:108563

  DOI Link:10.1016/j.optlaseng.2024.108563

  数据库ID（收录号）:20243717034135
• Record 24 of
  
  Title:Low-light image enhancement via illumination optimization and color correction
  
  Author Full Names:Zhang, Wenbo(1); Xu, Liang(1); Wu, Jianjun(1); Huang, Wei(1); Shi, Xiaofan(1); Li, Yanli(2)

  Source Title:Computers and Graphics

  Language:English

  Document Type:Journal article (JA)

  Abstract:The issue of low-light image enhancement is investigated in this paper. Specifically, a trainable low-light image enhancer based on illumination optimization and color correction, called LLOCNet, is proposed to enhance the visibility of such low-light image. First, an illumination correction network is designed, leveraging residual and encoding-decoding structure, to correct the illumination information of the V-channel for lighting up the low-light image. After that, the illumination difference map is derived by difference between before and after luminance correction. Furthermore, an illumination-guided color correction network based on illumination-guided multi-head attention is developed to fine-tune the HS color channels. Finally, a feature fusion block with asymmetric parallel convolution operation is adopted to reconcile these enhanced features to obtain the desired high-quality image. Both qualitative and quantitative experimental results show that the proposed network favorably performs against other state-of-the-art low-light enhancement methods on both real-world and synthetic low-light image dataset. © 2024

  Affiliations:(1) The Laboratory of Aeronautical Optoelectronic Technology, Xi'an Institute of Optics and Precision Mechanics of CAS, Shaanxi, Xi'an; 710119, China; (2) The School of Marine Science and Technology, Northwestern Polytechnical University, Shaanxi, Xi'an; 710072, China

  Publication Year:2025

  Volume:126

  Article Number:104138

  DOI Link:10.1016/j.cag.2024.104138

  数据库ID（收录号）:20245017517778