Micron-level processing technology of microlens array (MLA) photolithography based on convolutional neural network
Micro/Nano Technology and Fine Mechanics|更新时间:2024-01-13
|
Micron-level processing technology of microlens array (MLA) photolithography based on convolutional neural network
“In the MLA exposure process, a circular pattern is designed and the Yolov5 model is introduced to quickly determine the exposure quality, analyze parameters such as photoresist thickness and line energy density, and provide a basis for process optimization.”
Optics and Precision EngineeringVol. 32, Issue 1, Pages: 43-52(2024)
YAO Yuchao,ZHOU Rui,YAN Xing,et al.Micron-level processing technology of microlens array (MLA) photolithography based on convolutional neural network[J].Optics and Precision Engineering,2024,32(01):43-52.
YAO Yuchao,ZHOU Rui,YAN Xing,et al.Micron-level processing technology of microlens array (MLA) photolithography based on convolutional neural network[J].Optics and Precision Engineering,2024,32(01):43-52. DOI: 10.37188/OPE.20243201.0043.
Micron-level processing technology of microlens array (MLA) photolithography based on convolutional neural network
A self correcting low-light object detection method based on pyramid edge enhancement
Integrated 2D-3D LiDAR-vision fusion vehicle speed estimation based on image frustum
Aircraft target detection in SAR images based on MA-DETR
Visual inspection of soldering defects on board surfaces against complex backgrounds
Few-shot warhead fragment group object detection based on feature reassembly and attention
Related Author
JIANG Zhanjun
WU Baijing
MA Long
LIAN Jing
ZHOU Kuiyu
HUANG Yuchun
YANG He
LI Na
Related Institution
School of Electronics & Information Engineering,Lanzhou Jiaotong University
Troops of PLA
Transportation Development Center of Henan Province
School of Remote Sensing and Information Engineering, Wuhan University
Shanghai Key Laboratory of Space-based Heterogeneous Network Collaborative Computing, Shanghai Aerospace Electronic Communication Equipment Research Institute