中文版 | English

在结果中检索

OPT OpenIR

浏览/检索结果: 共529条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
Robust HDR reconstruction using 3D patch based on two-scale decomposition 期刊论文
Signal Processing, 2024, 卷号: 219
作者:  Qiao, Zhangchi;  Yi, Hongwei;  Wen, Desheng;  Han, Yong
Adobe PDF(8066Kb)  |  收藏  |  浏览/下载：41/0  |  提交时间：2024/03/07
High dynamic range imaging  Multi-exposure image fusion  Two-scale features  Patch-based match  Dynamic/multi-view scene  
Spectral encoder to extract the efficient features of Raman spectra for reliable and precise quantitative analysis 期刊论文
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 2024, 卷号: 312
作者:  Gao, Chi;  Fan, Qi;  Zhao, Peng;  Sun, Chao;  Dang, Ruochen;  Feng, Yutao;  Hu, Bingliang;  Wang, Quan
Adobe PDF(2752Kb)  |  收藏  |  浏览/下载：10/0  |  提交时间：2024/04/08
Raman spectroscopy  Quantitative analysis  Deep learning  Spectral encoder  Feature extraction  
All-optical neural network nonlinear activation function based on the optical bistability within a micro-ring resonator 期刊论文
Optics Communications, 2024, 卷号: 558
作者:  Zhang, Hui;  Wen, Jin;  Wu, Zhengwei;  Wang, Qian;  Yu, Huimin;  Zhang, Ying;  Pan, Yu;  Yin, Lan;  Wang, Chenglong;  Qu, Shuangchao
Adobe PDF(5029Kb)  |  收藏  |  浏览/下载：10/0  |  提交时间：2024/04/08
Micro-ring resonator  All-optical neural network  Bistability  Nonlinear activation function  
Multiple marine algae identification based on three-dimensional fluorescence spectroscopy and multi-label convolutional neural network 期刊论文
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 2024, 卷号: 311
作者:  Li, Ruizhuo;  Gao, Limin;  Wu, Guojun;  Dong, Jing
Adobe PDF(2740Kb)  |  收藏  |  浏览/下载：8/0  |  提交时间：2024/04/08
Marine algae  Three-dimensional fluorescence spectroscopy  Convolutional neural network  Multi-label classification  
Inverse design of high efficiency and large bandwidth power splitter for arbitrary power ratio based on deep residual network 期刊论文
Optical and Quantum Electronics, 2024, 卷号: 56, 期号: 4
作者:  Wen, Jin;  Wu, Zhengwei;  Zhang, Hui;  Wang, Qian;  Yu, Huimin;  Zhang, Ying;  Pan, Yu;  Liu, Zhanzhi
Adobe PDF(2757Kb)  |  收藏  |  浏览/下载：33/1  |  提交时间：2024/03/07
Power splitter  Inverse design  Direct binary search  Neural network  
Pakistan's 2022 floods: Spatial distribution, causes and future trends from Sentinel-1 SAR observations 期刊论文
Remote Sensing of Environment, 2024, 卷号: 304
作者:  Chen, Fang;  Zhang, Meimei;  Zhao, Hang;  Guan, Weigui;  Yang, Aqiang
Adobe PDF(19573Kb)  |  收藏  |  浏览/下载：11/0  |  提交时间：2024/04/10
Flood monitoring  Climate change  Snow melting  Pakistan  Synthetic Aperture Radar (SAR)  
Interaction semantic segmentation network via progressive supervised learning 期刊论文
MACHINE VISION AND APPLICATIONS, 2024, 卷号: 35, 期号: 2
作者:  Zhao, Ruini;  Xie, Meilin;  Feng, Xubin;  Guo, Min;  Su, Xiuqin;  Zhang, Ping
Adobe PDF(2144Kb)  |  收藏  |  浏览/下载：18/0  |  提交时间：2024/03/15
Semantic segmentation  Boundary refinement  Progressive supervised learning  Information interaction  
Rapid prediction of regenerator performance for regenerative cryogenics cryocooler based on convolutional neural network 期刊论文
INTERNATIONAL JOURNAL OF REFRIGERATION, 2024, 卷号: 158, 页码: 225-237
作者:  Chen, Xiantong;  Li, Shanshan;  Yu, Jun;  Yang, Sen;  Chen, Hao
Adobe PDF(4887Kb)  |  收藏  |  浏览/下载：24/0  |  提交时间：2024/02/29
Convolutional neural network  Deep learning  Regenerator  Cryogenic cooler  REGEN 3.3 software  
A Snapshot Multi-Spectral Demosaicing Method for Multi-Spectral Filter Array Images Based on Channel Attention Network 期刊论文
SENSORS, 2024, 卷号: 24, 期号: 3
作者:  Zhang, Xuejun;  Dai, Yidan;  Zhang, Geng;  Zhang, Xuemin;  Hu, Bingliang
Adobe PDF(2829Kb)  |  收藏  |  浏览/下载：22/0  |  提交时间：2024/03/15
multi-spectral filter array  demosaicing  convolution neural network  
Blind deep-learning based preprocessing method for Fourier ptychographic microscopy 期刊论文
Optics and Laser Technology, 2024, 卷号: 169
作者:  Wu, Kai;  Pan, An;  Sun, Zhonghan;  Shi, Yinxia;  Gao, Wei
Adobe PDF(10182Kb)  |  收藏  |  浏览/下载：59/0  |  提交时间：2023/10/26
Fourier ptychographic microscopy  Noise modeling  Blind denoising  Deep learning