2024

• Record 373 of
  
  Title:Fabrication and Bulk Resistance Modulation of Ru/Al2O3 Composite Nanofilm by Atomic Layer Deposition
  
  Author Full Names:Lian, Zhuoxi(1); Zhu, Xiangping(2,3); Wang, Dan(1,4); Li, Xiangxin(2)

  Source Title:Surface Technology

  Language:Chinese

  Document Type:Journal article (JA)

  Abstract:Applying atomic layer deposition (ALD) technology to fabricate the functional layer of a microchannel plate (MCP) has been verified to be an effective approach to enhancing MCP performance. However, the conduction layer inside the MCP device faces the issues of a narrow range of adjustable resistance and poor stability. The work aims to propose a method of utilizing ALD to fabricate Ru/Al2O3 composite nanofilm as the MCP conduction layer since Al2O3 has good environmental stability and excellent dielectricity and Ru possesses the properties of excellent thermal stability and high-temperature corrosion resistance. In order to explore the process parameters, Al2O3 and Ru nanofilms were deposited on Si wafers by ALD technology with different ALD cycle numbers. The cross-section thickness of the nanofilms was obtained by scanning electron microscopy (SEM), and the relative elemental composition of the nanofilms was obtained by energy-dispersive X-ray spectroscopy (EDS). The SEM characterization showed that applying ALD technology for the deposition of nanofilm resulted in high film quality, compact layer structure, and dense atomic arrangement. Moreover, the film thickness showed only a slight deviation from the estimated thickness, and the selected process parameters met the expected experimental objectives. On this basis, the Ru/Al2O3 composite nanofilm was fabricated by depositing two materials sequentially with ALD technology. A series of Ru/Al2O3 composite films were fabricated by maintaining a constant number of ALD cycles for Al2O3 and varying the ALD cycles for Ru, aiming to control the bulk resistance of the conduction layer. The bulk resistance of the MCP conduction layers was tested, and the stability of the bulk resistance was tested under different bias voltages. From the SEM and EDS results, it could be concluded that the process of preparing Al2O3 and Ru nanofilms with ALD was stable. The bulk resistance significantly decreased with the increase of ALD cycles of Ru according to the bulk resistance test results. The process parameters applicable to the preparation of the MCP conduction layer were Ru with an ALD cycle number of 28~40 and Al2O3 with an ALD cycle number of 10. In this case, the MCP bulk resistance was controlled in the range from 709 to 3.98 MΩ. The MCP bulk resistance was then tested under different bias voltages, namely, post-deposition without/with baking and extending purge time during deposition followed by natural cooling. The MCP bulk resistance showed preferable stability under different bias voltages by employing the process of extending purge time followed by natural cooling. With ALD technology, controlling the MCP bulk resistance from several to several hundred megohms has been achieved. Moreover, the optimized process for the conduction layer exhibits excellent stability regarding MCP bulk resistance. This work holds engineering application value in extending the range of conduction layer materials, and also makes significant sense for improving MCP performance. © 2024 Chongqing Wujiu Periodicals Press. All rights reserved.

  Affiliations:(1) School of Microelectronics, Xi'an Jiaotong University, Xi'an; 710049, China; (2) Zhong Ke Atomically Precise Manufacturing Technology Co., Ltd, Xi'an; 710119, China; (3) Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; (4) Xi'an Key Laboratory of Micro and Nano Electronics and System Integration, Xi'an; 710049, China

  Publication Year:2024

  Volume:53

  Issue:14

  Start Page:173-180

  DOI Link:10.16490/j.cnki.issn.1001-3660.2024.14.016

  数据库ID（收录号）:20243717021228
• Record 374 of
  
  Title:Automatic Temperature Control System for Ultra-low Temperature Special Optical Monitoring Equipment
  
  Author Full Names:Cui, Sidong(1,3); Zhu, Wei(2); Yue, Fengying(1); Zhang, Haifeng(3); Gao, Bo(3); Meng, Han(3)

  Source Title:Proceedings of SPIE - The International Society for Optical Engineering

  Language:English

  Document Type:Conference article (CA)

  Conference Title:2024 Conference on Spectral Technology and Applications, CSTA 2024

  Conference Date:May 9, 2024 - May 11, 2024

  Conference Location:Dalian, China

  Conference Sponsor:Chinese Society for Optical Engineering

  Abstract:Ultra-low temperature special optical monitoring equipment for a new generation of launch vehicle first-stage liquid oxygen fuel tank interior, liquid oxygen fuel tank inside the -183℃ ultra-low temperature environment, the reliable operation of the optical monitoring equipment has brought great challenges. Based on this, this paper designs an automatic temperature control system for ultra-low-temperature special optical monitoring equipment, the temperature measurement module uses DS18B20 circuit and is calibrated by PT100; the temperature control module is designed based on the heating film driving circuit of LM3406; on the basis of incremental PID control, combined with the fuzzy control, it designs the fuzzy incremental PID temperature control based on FPGA; and it realizes and tests hardware and software to the measurement and control temperature. Hardware and software implementation and testing, the realization of the 10-channel temperature measurement and 16-channel automatic temperature control; improve the PID algorithm can achieve dynamic temperature control, leaving the system heat margin, under the conditions of limited resources, to avoid power wastage, so that the monitoring equipment can run for a long time; has been successfully applied to the liquid oxygen environment, so that the internal components of the device can be in the near -180℃ to maintain the operating temperature of 20℃ or so, can be extended to other equipment equivalent to low temperature environment automatic temperature control. © 2024 SPIE.

  Affiliations:(1) North University of China, Taiyuan; 030051, China; (2) Beijing Institute of Astronautical Systems Engineering, Beijing; 100076, China; (3) Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an; 710119, China

  Publication Year:2024

  Volume:13283

  Article Number:132833B

  DOI Link:10.1117/12.3037094

  数据库ID（收录号）:20245217584292
• Record 375 of
  
  Title:Influence of wavefront distortion on the measurement of pulse signal-to-noise ratio
  
  Author Full Names:Xing, Dingding(1,2); Yuan, Suochao(1); Kou, Jingwei(1); Da, Zhengshang(1)

  Source Title:Optics Communications

  Language:English

  Document Type:Journal article (JA)

  Abstract:The high-fidelity measurement of the ultra-short and ultra-intense laser pulses' temporal signal-to-noise ratio (SNR) is of great significance. To the best of our knowledge, few studies have investigated the influence of wavefront distortion on the measurement of pulse SNR. In this work, a numerical model is constructed to study how wavefront distortion affects the measurement of ultra-short and ultra-intense pulse SNR by the single-shot third-order auto-correlation (TOAC) method. The nonlinear coupled-wave equations with wavefront distortion have been solved numerically by the split-step Fourier method and the fourth-order Runge-Kutta numerical algorithm. The wavefront distortion of the under-test fundamental wave will be transmitted to the second harmonic and third harmonic, leading to the phase mismatch in the second harmonic generation (SHG) and third harmonic generation (THG), further resulting in the deterioration of the measured SNR. We analyze the influence of different spatial frequencies and peak-to-valley (PV) values on the measurements of SNR. The larger the spatial frequency or PV value of the wavefront distortion, the more severe the degradation of the SNR. © 2023 Elsevier B.V.

  Affiliations:(1) The Advanced Optical Instrument Research Department, 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

  Publication Year:2024

  Volume:554

  Article Number:130110

  DOI Link:10.1016/j.optcom.2023.130110

  数据库ID（收录号）:20240215363991
• Record 376 of
  
  Title:On-orbit calibration of space camera lens distortion using a single image
  
  Author Full Names:Zhang, Gaopeng(1); Wang, Feng(1); Zhang, Guangdong(1,2); Zhang, Zhe(1); Du, Hubing(3); Zhao, Zixin(4); Wang, Changqing(2); Cao, Jianzhong(1); Zhao, Jingwei(3); Li, Yanjie(3); Lu, Rong(1)

  Source Title:Optics and Lasers in Engineering

  Language:English

  Document Type:Journal article (JA)

  Abstract:Since space cameras need to withstand the harsh mechanical and thermal conditions in the space environment for a long time, it is necessary to calibrate them in orbit. However, existing calibration methods have various disadvantages, making them impossible to use in orbit. To address this problem, we present an on-orbit calibration of space camera lens distortion with the vanishing points obtained from a single image of the solar panel. First, we propose a parallel-line-extraction method based on collinear constraints to obtain the parallel lines. Then, we train the optimal vanishing point using the common point constraint method. Using the optimal vanishing point, we establish the optimization function of lens distortion based on vanishing point consistency. Finally, we present an improved genetic algorithm to solve the optimization function. Simulations and experiments show that the proposed method is flexible and robust. © 2024 Elsevier Ltd

  Affiliations:(1) Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences, Shaanxi, Xi'an; 710119, China; (2) School of Automation, Northwestern Polytechnical University, Shaanxi, Xi'an; 710072, China; (3) School of Mechatronic Engineering, Xi'an Technological University, Shaanxi, Xi'an; 710021, China; (4) State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Shaanxi, Xi'an; 710049, China

  Publication Year:2024

  Volume:177

  Article Number:108140

  DOI Link:10.1016/j.optlaseng.2024.108140

  数据库ID（收录号）:20241015672218
• Record 377 of
  
  Title:Application of fine spectral detection and quantitative analysis technology in water quality and environmental monitoring of the Yangtze River main stream
  
  Author Full Names:Zhao, Yubo(1,2); Wang, Xueji(1); Liu, Xiao(1); Gong, Kaijie(3); Zou, Lei(4); Lin, Zhonghui(4); Yu, Tao(1); Yu, Weixing(1); Hu, Bingliang(1)

  Source Title:Dili Xuebao/Acta Geographica Sinica

  Language:Chinese

  Document Type:Journal article (JA)

  Abstract:Water eco- environment monitoring is the premise and foundation of habitat protection. In view of the characteristics of the Yangtze River Basin's water system, which is diverse, complex, and ever- changing, higher requirements are put forward for monitoring methods. At present, the water quality monitoring methods for large surface water systems are still mainly based on manual sampling combined with laboratory chemical analysis or on-site hand-held instrumental analysis. There are problems such as method lag, single means, low frequency, and lack of non-point sources. Therefore, there is an urgent need for new system monitoring technology, which breaks through real-time, fast, non-point source quantitative and other practical needs, and provides a reliable data source for the comprehensive simulation of the Yangtze River water system. In this context, this paper proposes a fine spectral detection and quantitative analysis technology with completely independent intellectual property rights, and develops ground-based, space-based and other system technologies and equipment. With the support of the relevant projects, the demonstration application of systematic technology was carried out, and the space-ground stereoscopic monitoring was conducted in the key sections of the main stream of the Yangtze River, the Three Gorges Demonstration Area and the Poyang Lake Demonstration Area, and good results were achieved. The monitoring data are connected to the "Yangtze River Simulator" through the cloud platform, which provides fast real-time data support for its comprehensive operation, as well as a new method and application model for the comprehensive monitoring of large-scale water systems in the future. © 2024 Science Press. All rights reserved.

  Affiliations:(1) Xi'an Institute of Optics and Precision Mechanics, CAS, Xi'an; 710119, China; (2) University of Chinese Academy of Sciences, Beijing; 100049, China; (3) Xi'an University of Technology, Xi'an; 710054, China; (4) Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing; 100101, China

  Publication Year:2024

  Volume:79

  Issue:1

  Start Page:45-57

  DOI Link:10.11821/dlxb202401004

  数据库ID（收录号）:20240915663611
• Record 378 of
  
  Title:Non-linear Calibration Temperature Point Selection Method for Infrared Spectral Imager
  
  Author Full Names:Wang, Yanheng(1,2); Li, Yun(1); Yu, Can(1,2); Gao, Xiangyu(1,2); Wang, Shuang(1,2)

  Source Title:Guangzi Xuebao/Acta Photonica Sinica

  Language:Chinese

  Document Type:Journal article (JA)

  Abstract:In order to adequately correct the response nonlinearity of infrared detectors，the multi-point method is often used to replace the traditional two-point method for the radiometric correction of satellite-borne infrared spectral imagers，and the number of required calibration temperature points increases with the increase of the dynamic range. Aiming at the redundancy of temperature points in multi-point calibration， a calibration temperature point selection method based on relative standard deviation threshold division is proposed. Firstly，the experimentally obtained instrumental response curve is divided into multiple segments using the standard deviation method，and each segment is linearly fitted using the least-squares method to ensure the fitting accuracy；secondly，the calibration coefficients derived from the fitting are inversely performed to determine the blackbody temperature points for two-point calibration in each segment. The same method is used to divide the nonlinear response curves within all spectral segments，and the corresponding calibrated temperature points for all sub-segments of each segment after division are found. Finally，all the temperature points are combined and compressed to determine the final calibration temperature points. In order to verify the feasibility of the method，simulation experiments and real experiments were carried out respectively. The nonlinear response of a single spectral band was simulated，and the standard deviation method and the bisection method were used to divide multiple bands under the same division conditions（relative standard deviation of 1%），and the least-squares method was used for linear fitting after division，resulting in the need for 14 calibrated temperature points after the division of the standard deviation method and the need for 22 calibrated temperature points after the bisection method，and the degree of nonlinearity of the two methods after the division of the fit was less than 1%. It can be proved that the standard deviation method can reduce the number of calibration temperature points under the same division requirements. When the number of calibration points is the same（20），the standard deviation method and the uniform division of the two methods are used to fit the nonlinear response curve of a single spectral band. The maximum value of nonlinearity was 0.404 6% after fitting by standard deviation method and 1.059 9% after uniform division and linear fitting. It can be proved that when the number of calibration temperature points is the same，the standard deviation method is better than the uniform division. Combined with the designed infrared spectral imager，17 spectral channel response curves at mid-wave were simulated，and the nonlinear response curves of each spectral channel were divided into multiple segments using the standard deviation method，and the 17 spectral segments were divided into 72 segments under the condition of 1% relative standard deviation. The blackbody temperature points used for two-point calibration were derived for each sub-segment. Since the temperature points derived from the inversion of each segment are not necessarily unique，and the same blackbody temperature point can be adapted to radiometric calibration in different bands. Therefore，the temperature points can be combined according to their frequency of occurrence. The combined calibrated temperature points（90）are compressed. Using the compressed 10 calibrated temperature points to calibrate 17 spectral bands，the nonlinearity of the calibrated multiband linear response curve is less than 1%. Infrared radiation acquisition experiments were conducted，and the nonlinear response curve of the mid-wave infrared camera in the temperature range of 308.15~ 396.15 K in the blackbody grew linearly to saturation was measured. Using the standard deviation method for multi-segment division，14 calibration points are required after division，and the maximum value of the nonlinearity after linear fitting is 0.61%，and the mean value is 0.48%. The results of both simulation and measurement experiments show that this method can be effectively used for the selection of temperature points for the multi-segment two-point calibration method，which is of certain significance for reducing the burden of the infrared spectral imager in orbit，lowering the number of temperature points for blackbody calibration，and realizing efficient on-planet blackbody nonlinear calibration. © 2024 Chinese Optical Society. All rights reserved.

  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

  Publication Year:2024

  Volume:53

  Issue:11

  Article Number:1130003

  DOI Link:10.3788/gzxb20245311.1130003

  数据库ID（收录号）:20245117558305
• Record 379 of
  
  Title:Design of a large-range dispersive objective for line-sweep spectral confocal displacement sensors
  
  Author Full Names:Yang, Weiguang(1,2); Qi, Meijie(1); Yan, Jiayue(1,2); Cheng, Mohan(1,2); Zhang, Zhoufeng(1)

  Source Title:Proceedings of SPIE - The International Society for Optical Engineering

  Language:English

  Document Type:Conference article (CA)

  Conference Title:6th Conference on Frontiers in Optical Imaging and Technology: Novel Technologies in Optical Systems

  Conference Date:October 22, 2023 - October 24, 2023

  Conference Location:Nanjing, China

  Conference Sponsor:The Chinese Society for Optical Engineering

  Abstract:Spectral Confocal Displacement Sensor is a new type of displacement sensor that can meet the requirements of high precision, high speed and non-destructive testing, and can be applied in aerospace, medical and industrial testing fields. The traditional point-scan spectral confocal displacement sensor only collects depth information of one point at a time, which is slow and has a large amount of back-end data. In order to improve the scanning speed of the point-scan spectral confocal displacement sensor and reduce the workload of data processing, it is proposed to extend the point-scan type to line-scan type, which can obtain the depth information of thousands of points at one time, improve the scanning speed and reduce the workload of data processing by processing all the points on the scanning line at one time. Aiming at the dispersive objective lens design in the line-scan spectral confocal displacement sensor, a dispersive lens with a large linear dispersion range is designed based on the principle of linear axial chromatic aberration design. The lens consists of four single lenses and two double-glued lenses and a beam-splitting prism, in order to solve the problem of energy uniformity into the spectrometer and the problem of uniformity of illumination on the image surface, the double telecentric optical path design is adopted, and the size of the detector element selected is 5.5 um, and the Nyquist cutoff frequency is 91 Lp/mm. The design results show that: the dispersive range of the lens reaches 3 mm, and the length of the scanning line reaches 10 mm. At the Nyquist cutoff frequency, the MTF value of the whole field of view is greater than 0.6, which indicates that the system has good imaging quality. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

  Affiliations:(1) Laboratory of Spectral Imaging Technology, Xi'an Institute of Optical Precision and Mechanical Research, Chinese Academy of Sciences, Shaanxi, Xi'an; 710119, China; (2) University of Chinese Academy of Sciences, Beijing; 100049, China

  Publication Year:2024

  Volume:13153

  Article Number:1315305

  DOI Link:10.1117/12.3013278

  数据库ID（收录号）:20242016087065
• Record 380 of
  
  Title:Efficient anti-frosting enabled by femtosecond laser-induced salt-philic and superhydrophobic surface
  
  Author Full Names:Deng, Qinwen(1); Wu, Tingni(1); Yin, Kai(1,2,3); Li, Xun(4); Wang, Lingxiao(1); Huang, Qiaoqiao(1); Huang, Yin(1); Arnusch, Christopher J.(5); Duan, Ji-An(2)

  Source Title:Applied Physics Letters

  Language:English

  Document Type:Journal article (JA)

  Abstract:Frost formation is a normal phase transition phenomenon in cold climates, while it usually brings certain troubles to human lives and production. Therefore, it is of great significance to develop frost resistant materials and key technologies. Here, a salt-philic and superhydrophobic surface is designed on a PDMS substrate by femtosecond laser direct writing technology in combination with salt-ethanol-water mixtures droplet treatment. The laser-treated PDMS embedded salt (LTP-S) surface exhibits superhydrophobicity, which alone is a property that can resist the formation of frost and enables a self-cleaning effect. Meanwhile, the salt coating further enhances the frost resistance of the surface by reducing the freezing point temperature. The LTP-S surface is revealed to perform well in frosting-defrosting cycles, washing resistance, chemical corrosion resistance, heating resistance, and long-term air exposure tests as a highly efficient and stable anti-frosting surface. This work demonstrates a facile strategy to fabricate a salt-philic and superhydrophobic surface for efficient anti-frosting. © 2024 Author(s).

  Affiliations:(1) Hunan Key Laboratory of Nanophotonic and Devices, School of Physics, Central South University, Changsha; 410083, China; (2) State Key Laboratory of Precision Manufacturing for Extreme Service Performance, College of Mechanical and Electrical Engineering, Central South University, Changsha; 410083, China; (3) State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan; 430000, China; (4) State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an; 710119, China; (5) Department of Desalination and Water Treatment, Zuckerberg Institute for Water Research, The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede-Boqer Campus, Midreshet Ben-Gurion; 84990, Israel

  Publication Year:2024

  Volume:125

  Issue:12

  Article Number:121602

  DOI Link:10.1063/5.0232717

  数据库ID（收录号）:20244117169329
• Record 381 of
  
  Title:Environmentally stable all-fiber femtosecond laser for industrial application based on a SESAM mode-locked ytterbium-doped laser
  
  Author Full Names:Cao, Xue(1,2,3); Li, Feng(1); Song, Dongdong(1); Wang, Yishan(1); Li, Qianglong(1,2,3); Zhao, Hualong(1); Zhao, Wei(1); Wen, Wenlong(1); Si, Jinhai(2)

  Source Title:Microwave and Optical Technology Letters

  Language:English

  Document Type:Journal article (JA)

  Abstract:We demonstrate an environmentally stable femtosecond laser for industrial application based on all polarization-maintaining Yb-doped laser and experimentally explore the effect of the net cavity dispersion (NCD) on output characteristics. The oscillator emits pulses with 5.1 ps and a 23 nm spectral bandwidth, then the pulse is compressed to 88 fs. The instabilities over 120 h gives 0.32% relative root mean square noise, indicating high stability of the pulse laser. With effective regulation of NCD, we obtained the maximum spectral bandwidth of 27 nm. Such broadband oscillator with compact all-fiber configurations provide extremely high stability should be very attractive for long-term industrial application. © 2024 Wiley Periodicals LLC.

  Affiliations:(1) State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China; (2) Key Laboratory for Physical Electronics and Devices of the Ministry of Education and Shaanxi Key Lab of Information Photonic Technique, School of Electronics and Information Engineering Xi'an Jiaotong University, Xi'an, China; (3) University of Chinese Academy of Sciences, Beijing, China

  Publication Year:2024

  Volume:66

  Issue:4

  Article Number:e34119

  DOI Link:10.1002/mop.34119

  数据库ID（收录号）:20241315798070
• Record 382 of
  
  Title:Accurate Real-Time Laser Spot Locating Based on Template Correlation in Intersatellite Laser Communications
  
  Author Full Names:Meng, Xiangsheng(1,2); Liu, Wen(1,2); Han, Junfeng(1,2); Tian, Yan(1,2); Liu, Jun(1,2); Ma, Caiwen(1,2)

  Source Title:IEEE Photonics Journal

  Language:English

  Document Type:Journal article (JA)

  Abstract:In intersatellite laser communications, the centroiding accuracy of a laser spot is crucial for maintaining steady communication links. However, the systematic error introduced by discrete sampling restricts further improvement of centroiding accuracy when choosing algorithms that are widely used in engineering. Additionally, the ultrahigh computational complexity and multiple-step iterations of the Gaussian fitting (GF) algorithm are unsuitable for real-time implementation, even though the algorithm can achieve the highest centroiding accuracy. In this study, we propose a laser spot centroiding algorithm based on template correlation to simultaneously satisfy the requirements of real-time performance and accuracy. The proposed algorithm evaluates the central location of a laser spot by obtaining the index of the maximum Pearson correlation coefficient (PCC). Simulations performed under different conditions reveal that the proposed algorithm is robust against the interference of background noise and the bad pixels. Moreover, experimental verification is performed based on the implementation on a Field-Programmable Gate Array (FPGA) in real-time, meanwhile its accuracy is on the same level as that of the GF algorithm and better than those of other widely-used algorithms. Therefore, the proposed algorithm is suitable for accurate real-time locating of laser spots in engineering applications of the intersatellite laser communications. © 2009-2012 IEEE.

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

  Publication Year:2024

  Volume:16

  Issue:1

  Start Page:1-9

  Article Number:7800209

  DOI Link:10.1109/JPHOT.2023.3335234

  数据库ID（收录号）:20234915180528
• Record 383 of
  
  Title:A painting authentication method based on multi-scale spatial-spectral feature fusion and convolutional neural network
  
  Author Full Names:Zeng, Zimu(1,2); Zhang, Pengchang(1); Qiu, Shi(1); Li, Siyuan(1); Liu, Xuebin(1)

  Source Title:Computers and Electrical Engineering

  Language:English

  Document Type:Journal article (JA)

  Abstract:The scientific authentication of paintings holds significant importance within the realm of art collection. Employing convolutional neural networks for the classification of authentic and counterfeit painting images based on color images is a viable but suboptimal choice. This study investigates the potential for authenticating paintings by incorporating high-spectral images alongside high-resolution spatial images. High-resolution and high-spectral images of genuine and counterfeit paintings were acquired using a push-broom digital scanning system. The processing methods presented in this approach for the acquired images are: 1) The study utilized the circular local binary pattern (LBP) and principal component analysis (PCA) to extract surface texture and spectral data from Chinese character images in paintings, encompassing both spatial and spectral dimensions. 2) The technique utilizing non-subsampling Shearlet transform (NSST) and pulse-coupled neural network (PCNN) was employed to integrate the spatial and spectral characteristics of the images into a pseudo-color image, producing a dataset of feature data for genuine and counterfeit paintings. 3) The experiments aimed to achieve the authenticity of artworks using EfficientNet v2-s, the hyperparameters of which were fine-tuned accordingly. The experimental findings demonstrate that this approach attained a 90.8 % accuracy on the test dataset, representing a 3.5 % enhancement over the existing top-performing three-dimensional convolutional neural network (3D-CNN). © 2024

  Affiliations:(1) Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; (2) University of Chinese Academy of Sciences, Beijing; 100408, China

  Publication Year:2024

  Volume:118

  Article Number:109315

  DOI Link:10.1016/j.compeleceng.2024.109315

  数据库ID（收录号）:20242216159530
• Record 384 of
  
  Title:A Multi-plane 2D Medical Image Segmentation Method Combined with Transformers
  
  Author Full Names:Liu, Zengxin(1,2,3); Ma, Caiwen(1,2); She, Wenji(1,3)

  Source Title:Proceedings of SPIE - The International Society for Optical Engineering

  Language:English

  Document Type:Conference article (CA)

  Conference Title:2024 International Conference on Remote Sensing, Mapping, and Image Processing, RSMIP 2024

  Conference Date:January 19, 2024 - January 21, 2024

  Conference Location:Xiamen, China

  Conference Sponsor:Academic Exchange Information Centre (AEIC); Shandong University

  Abstract:Segmentation on medical image is a necessary prerequisite for disease diagnosis and treatment planning. In various medical image segmentation tasks, U-Net based on convolutional neural network (CNN) has achieved tremendous success due to its ability to learn image details and deep high-dimensional features. However, the inherent limitations of convolution operations limit their performance in modeling explicit long-term relationships. Especially in the brain MRI glioma segmentation task, traditional convolutional neural networks show weakness in learning global semantic information due to the extreme intrinsic heterogeneity of tumors in terms of appearance, shape, and histology. Therefore, this research proposes a 2D U-Net combined with transformer for brain tumor segmentation, and also designs a fusion module to better fuse the high-resolution detail features from the encoder with the high-level semantic features in the decoding process. The respective segmentation models are trained on the three orthogonal planes, and a tumor core-assisted network is separately trained. We validate proposed method on the BraTS20 brain glioma MRI dataset, and the experimental results demonstrate that our method outperforms state-of-the-art 2D methods. Compared with 3D methods, our model can accomplish accurate tumor segmentation while saving computational resources. © 2024 SPIE.

  Affiliations:(1) 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) Key Laboratory of Space Precision Measurement Technology, Xi'an; 710119, China

  Publication Year:2024

  Volume:13167

  Article Number:131672Q

  DOI Link:10.1117/12.3029806

  数据库ID（收录号）:20242716656722