发布求助
文献互助 智能选刊 最新文献

光电工程最新文献

筛选
英文 中文
Optimized bow-tie metasurface and its application in trace detection of lead ion 优化领结超表面及其在铅离子痕量检测中的应用
Guangdian Gongcheng/Opto-Electronic Engineering Pub Date : 2021-01-01 DOI: 10.12086/OEE.2021.210123
Junqing Zhang, Yiping Wu, Shenghao Chen, Shiyi Gu, L. Sun, Mingru Zhou, Lin Chen
{"title":"Optimized bow-tie metasurface and its application in trace detection of lead ion","authors":"Junqing Zhang, Yiping Wu, Shenghao Chen, Shiyi Gu, L. Sun, Mingru Zhou, Lin Chen","doi":"10.12086/OEE.2021.210123","DOIUrl":"https://doi.org/10.12086/OEE.2021.210123","url":null,"abstract":"","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":"11 1","pages":"210123"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81929787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Pavement crack detection based on the U-shaped fully convolutional neural network 基于u型全卷积神经网络的路面裂缝检测
Guangdian Gongcheng/Opto-Electronic Engineering Pub Date : 2020-12-22 DOI: 10.12086/OEE.2020.200036
Hanshen Chen, M. Yao, Qu Xin-yu
{"title":"Pavement crack detection based on the U-shaped fully convolutional neural network","authors":"Hanshen Chen, M. Yao, Qu Xin-yu","doi":"10.12086/OEE.2020.200036","DOIUrl":"https://doi.org/10.12086/OEE.2020.200036","url":null,"abstract":"Crack detection is one of the most important works in the system of pavement management. Cracks do not have a certain shape and the appearance of cracks usually changes drastically in different lighting conditions, making it hard to be detected by the algorithm with imagery analytics. To address these issues, we propose an effective U-shaped fully convolutional neural network called UCrackNet. First, a dropout layer is added into the skip connection to achieve better generalization. Second, pooling indices is used to reduce the shift and distortion during the up-sampling process. Third, four atrous convolutions with different dilation rates are densely connected in the bridge block, so that the receptive field of the network could cover each pixel of the whole image. In addition, multi-level fusion is introduced in the output stage to achieve better performance. Evaluations on the two public CrackTree206 and AIMCrack datasets demonstrate that the proposed method achieves high accuracy results and good generalization ability.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":"47 1","pages":"200036"},"PeriodicalIF":0.0,"publicationDate":"2020-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87737407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Position-rate control for the time delay control system of tip-tilt mirror 倾斜镜延时控制系统的位置速率控制
Guangdian Gongcheng/Opto-Electronic Engineering Pub Date : 2020-12-22 DOI: 10.12086/OEE.2020.200006
Ruan Yong, Xun Tianrong, Yang Tao, Tang Tao
{"title":"Position-rate control for the time delay control system of tip-tilt mirror","authors":"Ruan Yong, Xun Tianrong, Yang Tao, Tang Tao","doi":"10.12086/OEE.2020.200006","DOIUrl":"https://doi.org/10.12086/OEE.2020.200006","url":null,"abstract":"In the image-based tip-tilt mirror control system, the closed-loop performance and bandwidth of the system and are limited due to the influence of sensor sampling frequency and system delay. Under the condition of limited bandwidth, this paper proposes to use linear encoder to measure the position, and get the rate signal by differ-ence. The position-rate feedback control based on the image sensor system is realized to improve the error sup-pression ability of the tip-tilt mirror control system. Because of the addition of rate feedback, the control system has differential characteristics. When the rate feedback closed-loop is completed, the image position loop has integral characteristic. At this time, a PI controller is used to stabilize the system, which makes the system rise from zero type to two type system, and improves the error suppression ability of the system. Simulation and experiment show that this method can effectively improve the closed-loop performance of the tracking control system in low frequency domain.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":"47 8 1","pages":"200006"},"PeriodicalIF":0.0,"publicationDate":"2020-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80619363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Light-field image super-resolution based on multi-scale feature fusion 基于多尺度特征融合的光场图像超分辨率
Guangdian Gongcheng/Opto-Electronic Engineering Pub Date : 2020-12-22 DOI: 10.12086/OEE.2020.200007
Z. Yuanyuan, Shi Shengxian
{"title":"Light-field image super-resolution based on multi-scale feature fusion","authors":"Z. Yuanyuan, Shi Shengxian","doi":"10.12086/OEE.2020.200007","DOIUrl":"https://doi.org/10.12086/OEE.2020.200007","url":null,"abstract":"As a new generation of the imaging device, light-field camera can simultaneously capture the spatial position and incident angle of light rays. However, the recorded light-field has a trade-off between spatial resolution and angular resolution. Especially the application range of light-field cameras is restricted by the limited spatial resolution of sub-aperture images. Therefore, a light-field super-resolution neural network that fuses multi-scale features to obtain super-resolved light-field is proposed in this paper. The deep-learning-based network framework contains three major modules: multi-scale feature extraction, global feature fusion, and up-sampling. Firstly, inherent structural features in the 4D light-field are learned through the multi-scale feature extraction module, and then the fusion module is exploited for feature fusion and enhancement. Finally, the up-sampling module is used to achieve light-field super-resolution. The experimental results on the synthetic light-field dataset and real-world light-field dataset showed that this method outperforms other state-of-the-art methods in both visual and numerical evaluations. In addition, the super-resolved light-field images were applied to depth estimation in this paper, the results illustrated that the disparity map was enhanced through the light-field spatial super-resolution.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":"12 2.1 1","pages":"200007"},"PeriodicalIF":0.0,"publicationDate":"2020-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90241748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Automatic 3D vertebrae CT image active contour segmentation method based on weighted random forest 基于加权随机森林的三维椎体CT图像主动轮廓自动分割方法
Guangdian Gongcheng/Opto-Electronic Engineering Pub Date : 2020-12-22 DOI: 10.12086/OEE.2020.200002
L. Xia, Gan Quan, Li Bing, Liu Xiao, Wang Bo
{"title":"Automatic 3D vertebrae CT image active contour segmentation method based on weighted random forest","authors":"L. Xia, Gan Quan, Li Bing, Liu Xiao, Wang Bo","doi":"10.12086/OEE.2020.200002","DOIUrl":"https://doi.org/10.12086/OEE.2020.200002","url":null,"abstract":"In order to solve the problems of sensitive initial contours and inaccurate segmentation caused by active contour segmentation of CT images, this paper proposes an automatic 3D vertebral CT active contour segmentation method combined weighted random forest called “WRF-AC”. This method proposes a weighted random forest algorithm and an active contour energy function that includes edge energy. First, the weighted random forest is trained by extracting 3D Haar-like feature values of the vertebra CT, and the 'vertebra center' obtained is used as the initial contour of the segmentation. Then, the segmentation of the vertebra CT image is completed by solving the active contour energy function minimum containing the edge energy. The experimental results show that this method can segment the spine CT images more accurately and quickly on the same datasets to extract the vertebrae.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":"47 1","pages":"200002"},"PeriodicalIF":0.0,"publicationDate":"2020-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78855338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Feature pyramid random fusion network for visible-infrared modality person re-identification 特征金字塔随机融合网络的可见-红外模态人再识别
Guangdian Gongcheng/Opto-Electronic Engineering Pub Date : 2020-12-22 DOI: 10.12086/OEE.2020.190669
Wang Ronggui, Wang Jing, Yang Juan, Xue Lixia
{"title":"Feature pyramid random fusion network for visible-infrared modality person re-identification","authors":"Wang Ronggui, Wang Jing, Yang Juan, Xue Lixia","doi":"10.12086/OEE.2020.190669","DOIUrl":"https://doi.org/10.12086/OEE.2020.190669","url":null,"abstract":"Existing works in person re-identification only considers extracting invariant feature representations from cross-view visible cameras, which ignores the imaging feature in infrared domain, such that there are few studies on visible-infrared relevant modality. Besides, most works distinguish two-views by often computing the similarity in feature maps from one single convolutional layer, which causes a weak performance of learning features. To handle the above problems, we design a feature pyramid random fusion network (FPRnet) that learns discriminative multiple semantic features by computing the similarities between multi-level convolutions when matching the person. FPRnet not only reduces the negative effect of bias in intra-modality, but also balances the heterogeneity gap between inter-modality, which focuses on an infrared image with very different visual properties. Meanwhile, our work integrates the advantages of learning local and global feature, which effectively solves the problems of visible-infrared person re-identification. Extensive experiments on the public SYSU-MM01 dataset from aspects of mAP and convergence speed, demonstrate the superiorities in our approach to the state-of-the-art methods. Furthermore, FPRnet also achieves competitive results with 32.12% mAP recognition rate and much faster convergence.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":"3 1","pages":"190669"},"PeriodicalIF":0.0,"publicationDate":"2020-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75245521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on sparsity of frequency modulated signal in fractional Fourier transform domain 分数阶傅里叶变换域调频信号稀疏性研究
Guangdian Gongcheng/Opto-Electronic Engineering Pub Date : 2020-11-20 DOI: 10.12086/OEE.2020.190660
Wang Shuo, Guo Yong, Yang Lidong
{"title":"Research on sparsity of frequency modulated signal in fractional Fourier transform domain","authors":"Wang Shuo, Guo Yong, Yang Lidong","doi":"10.12086/OEE.2020.190660","DOIUrl":"https://doi.org/10.12086/OEE.2020.190660","url":null,"abstract":"Frequency modulated (FM) signal is extensively applied in sonar, radar, laser and emerging optical cross-research, its sparsity is a common basic issue for the sampling, denoising and compression of FM signal. This paper mainly studies the sparsity of FM signal in the fractional Fourier transform (FRFT) domain, and a maximum singular value method (MSVM) is proposed to estimate the compact FRFT domain of FM signal. This method uses the maximum singular value of amplitude spectrum of FM signal to measure the compact domain, and WOA is used to search the compact domain, which effectively improves the shortcomings of the existing methods. Compared with MNM and MACF, this method gives a sparser representation of FM signal in the FRFT domain, which has less number of significant amplitudes. Finally, the primary application of this method in the FM signal filtering is given.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":"10 1","pages":"190660"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74718074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Mode-locked Yb-doped fiber laser based on mode coupler 基于模式耦合器的锁模掺镱光纤激光器
Guangdian Gongcheng/Opto-Electronic Engineering Pub Date : 2020-11-20 DOI: 10.12086/OEE.2020.200040
Yao Han, S. Fan, H. Yiping, Wang Teng, Zeng Xianglong
{"title":"Mode-locked Yb-doped fiber laser based on mode coupler","authors":"Yao Han, S. Fan, H. Yiping, Wang Teng, Zeng Xianglong","doi":"10.12086/OEE.2020.200040","DOIUrl":"https://doi.org/10.12086/OEE.2020.200040","url":null,"abstract":"We demonstrate a mode-locked Yb-doped fiber laser (YDFL) that enables fiber high-order mode (HOM) oscillation inside the ring cavity, by using a pair of mode selective couplers (MSCs) as an effective mode converter, the optical fiber HOM is obtained. The central wavelength of MSC is located at 1064 nm, which can achieve 80 nm mode conversion bandwidth and 94% high-order mode purity. A mode-locked pulsed fiber laser with a 3 dB spectral width of 7.4 nm, a pulse repetition frequency of 10.9 MHz, and a radio frequency signal-to-noise ratio of 55 dB is obtained, and the slope efficiency of the output power is 2.3%. These results show that the HOM can be directly oscillated by the cascaded MSCs in the fiber laser and participated in the mode-locking process to obtain a pulsed HOM laser.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":"9 1","pages":"200040"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82821119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on second-order Raman fiber amplifier based on particle swarm optimization 基于粒子群优化的二阶拉曼光纤放大器研究
Guangdian Gongcheng/Opto-Electronic Engineering Pub Date : 2020-11-20 DOI: 10.12086/OEE.2020.190747
Gong Jiamin, Zhang Chen, Hao Qianwen, Z. Lihong, Wang Jie
{"title":"Research on second-order Raman fiber amplifier based on particle swarm optimization","authors":"Gong Jiamin, Zhang Chen, Hao Qianwen, Z. Lihong, Wang Jie","doi":"10.12086/OEE.2020.190747","DOIUrl":"https://doi.org/10.12086/OEE.2020.190747","url":null,"abstract":"In order to further improve the performance index of second-order Raman fiber amplifier, the main parameters of second-order RFA were analyzed. First, a structural model that can be controlled by optical switches and switched between two modes of traditional second-order and traditional first-order RFA is designed. It is proved through simulation that second-order RFA can increase the system gain and improve noise performance. The gain performance of first-order RFA is optimized. The optimization goal is to reduce the flatness. The particle swarm optimization algorithm is used to optimize the configuration of the wavelength and power of the pump light. After further structural improvement, a second-order RFA with a gain of 24.50 dB and a gain flatness of 0.98 dB were achieved in a 100 nm bandwidth. These results provide a reference for the design of second-order RFA with better performance in the future.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":"51 1","pages":"190747"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79854450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application prospect of laser cleaning in petrochemical field 激光清洗在石油化工领域的应用前景
Guangdian Gongcheng/Opto-Electronic Engineering Pub Date : 2020-11-20 DOI: 10.12086/OEE.2020.200030
Duan Chenghong, Chen Xiaokui, Luo Xiang-peng
{"title":"Application prospect of laser cleaning in petrochemical field","authors":"Duan Chenghong, Chen Xiaokui, Luo Xiang-peng","doi":"10.12086/OEE.2020.200030","DOIUrl":"https://doi.org/10.12086/OEE.2020.200030","url":null,"abstract":"Laser cleaning is a surface engineering technology which uses the high-energy characteristic of laser to remove attachments on the substrate. It has been gradually promoted in the fields of microelectronics, mould, building, aerospace, and so on. However, as a pillar industry of national economy, there are rare reports on the application of laser cleaning technology in petrochemical industry. In this paper, the cleaning needs and technology status of petrochemical industry are introduced, the existing technology cannot fully meet the new requirements of petrochemical industry development. The development of laser cleaning technology both at home and abroad in recent years is reviewed, the work has provided a theoretical basis and ideal reference for the application of laser cleaning in the petrochemical field. And the application occasions of laser cleaning technology in petrochemical field are analyzed. In addition, the specific research directions and application prospect are pointed out.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":"10 1","pages":"200030"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85679350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信