作者: Zhang, Xuping1; Zhang, Yixin1; Wang, Liang2; Yu, Kuanglu3; Liu, Bo4; Yin, Guolu5; Liu, Kun6; Li, Xuan7; Li, Shinian8; Ding, Chuanqi9; Tang, Yuquan10; Shang, Ying11; Wang, Yishou12; Wang, Chen11; Wang, Feng1; Fan, Xinyu13; Sun, Qizhen2; Xie, Shangran14; Wu, Huijuan15; Wu, Hao2; Wang, Huaping16; Zhao, Zhiyong2 (1Key Laboratory of Intelligent Optical Sensing and Manipulation, Ministry of Education, Nanjing University, Jiangsu, Nanjing; 210023, China;2School of Optical and Electronic Information, Huazhong University of Science and Technology, Hubei, Wuhan; 430074, China;3Institute of Information Science, Beijing Jiaotong University, Beijing; 100044, China;4Research Center for Optical Fiber Sensing, Zhejiang Lab, Zhejiang, Hangzhou; 311100, China;5Key Laboratory of Optoelectronic Technology & Systems, Ministry of Education, Chongqing University, Chongqing; 400044, China;6School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin; 300072, China;7China Electric Power Research Institute, Beijing; 100192, China;8General Prospecting Institute of China National Administration of Coal Geology, Beijing; 100039, China;9Optical Science and Technology (ChengduLtd., Sichuan, Chengdu; 611731, China;10Anhui Provincial Key Laboratory of Photonic Devices and Materials, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Science, Anhui, Hefei; 230031, China;11Qilu University of Technology, Shandong Academy of Sciences), Laser Institute, Shandong Academy of Sciences, Shandong, Jinan; 250104, China;12School of Aerospace Engineering, Xiamen University, Fujian, Xiamen; 361005, China;13School of Electric Information and Electrical Engineering, State Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Jiao Tong University, Shanghai; 200240, China;14School of Optics and Photonics, MIIT Key Laboratory of Photonics Information Technology, Beijing Institute of Technology, Beijing; 100081, China;15Key Laboratory of Fiber Optic Sensing and Communication, Ministry of Education, University of Electronic Science and Technology of China, Sichuan, Chengdu; 611731, China;16College of Civil Engineering and Mechanics, Lanzhou University, Gansu, Lanzhou; 730000, China)
出处: Guangxue Xuebao/Acta Optica Sinica 2024 Vol.44 No.1
作者: Zheng, Chuanjian1; Zhang, Shaohui1; Liu, Siying1; Yang, Delong1; Hao, Qun1 (1School of Optics and Photonics, Beijing Institute of Technology, Beijing; 100081, China)
出处: Biomedical Optics Express 2024 Vol.15 No.2 P672-673
作者: Weng, Xiyi1; Wei, Wei1; Xie, Weilin1; Dong, Yi1 (1Key Laboratory of Photonic Information Technology, Ministry of Industry and Information Technology, School of Optics and Photonics, Beijing Institute of Technology, Beijing; 100081, China)
出处: Optics Letters 2024 Vol.49 No.5 P1113-1116
作者: Liu, Heyan1; Xuan, Hongwen2; Chen, Hongshan1; Hao, Jingjie1; Wu, Fan1; Zhang, Shenao1; Wang, Qing3; Yan, Lisong1; Zhang, Jinwei1 (1School of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan; 430074, China;2GBA branch of Aerospace Information Research Institute, Chinese Academy of Sciences, Guangzhou; 510700, China;3School of Optics and Photonics, Beijing Institute of Technology, Beijing; 100081, China)
出处: Optics Letters 2024 Vol.49 No.5 P1157-1160
作者: Chang, Haochen1; Chen, Jing1; Li, Yilin1; Chen, Jixiang1; Zhang, Xiaofeng2 (1Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, China;2School of Electronic Information and Electrical Engineering, Shang Hai Jiao Tong University, China)
出处: arXiv 2024
作者:
Yang Xie1;Yanxiu Peng2;Jinhong Guo1;Muyang Liu1;Bozhen Zhang3;Lan Yin3;He Ding2;
出处: Fundamental Research 2024
关键词: Electrocorticography (ECoG);Micro-electrocorticography (μECoG);Flexible electronics;Bioelectronics;Neural electrode array
摘要: The pursuit of precisely recording and localizing neural activities in brain cortical regions drives the development of advanced electrocorticography ...
作者:
Xiangyu Guo1;Jingjing Zhao2,9;Liqun Sun1;Varun Gupta3;Lin Du5;Komal Sharma2;Aidan Van Vleck2;Kaitlyn Liang4;Liangcai Cao1;Lingjie Kong1;Yuanmu Yang1;Yong Huang6;
出处: PhotoniX 2024 Vol.5 No.1
关键词: Optical coherence tomography angiography;Diffractive optical elements;Needle-shaped beam;Brain imaging;Stroke;Cortical blood perfusion
摘要: Optical imaging techniques provide low-cost, non-radiative images with high spatiotemporal resolution, making them advantageous for long-term dynamic ...
作者: 白皓,白廷柱 (北京理工大学光电学院)
出处: 红外技术 2024 第46卷 第2期 P176-182
关键词: 红外图像;深度学习;超分辨率算法;残差网络
摘要: 提出了一种基于深度残差神经网络的红外灰度图像超分辨率重构算法。首先使用残差卷积模块增加网络深度提高了网络的学习能力,使得卷积层在学习过程中能够利用到更多的邻域信息对于复杂场景有更好的学习能力。然后使用跳跃连接方式增加高频信息传输以实现对于图像细节的增强。实验结果表明,该网络能够有效地丰富重构图像的细 ...
作者: 王言,邢冀川,王遥志 (北京理工大学光电学院)
出处: 激光与光电子学进展 2024 第61卷 第4期 P532-541
关键词: 煤矸识别;激光雷达;双通道图像;深度学习
摘要: 煤矸石快速精准的识别对提升煤炭产能有着极大的影响,而现有的煤矸识别分选方法在分选设备、准确率以及效率上尚有不足。提出了一种基于深度学习的激光雷达双通道伪彩图像煤矸识别方法。首先,基于激光雷达距离通道信息,设定高度阈值去除目标矿石以外的干扰信息;其次,对原始点云数据降维投影,以快速获得煤矸反射强度信息 ...
作者: Yanmin Zhao1 2;Kexue Li1;Ying Hu1 2;Xiaobing Hou1;Fengyuan Lin1;Jilong Tang1;Xin Tang3;Xida Xing4;Xiao Zhao5;Haibin Zhu5;Xiaohua Wang1 2;Zhipeng Wei1; (1 State Key Laboratory of High Power Semiconductor Lasers, Changchun University of Science and Technology, 7089 Wei-Xing Road, Changchun 130022, China. 2 Zhongshan Institute of Changchun University of Science and Technology, Zhongshan 528437, China. 3 School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China. 4 Shandong North Optical Electronic Co., Ltd., Taian 271000, China. 5 Northeast Industry Group Co., Ltd., Changchun 130212, China.)
出处: Materials (Basel, Switzerland) 2024 Vol.17 No.6 P1241
关键词: electrodeposition;homogeneous nanorod arrays;large-scale;zinc oxide nanorod arrays.
摘要: In this paper, we demonstrate the significant impact of the solution flow and electrical field on the homogeneity of large-scale ZnO nanorod electrode ...