中文版 | English

在结果中检索

OPT OpenIR

浏览/检索结果: 共15条，第1-10条 帮助

限定条件                        
已选(0)清除 条数/页：   排序方式：
Deep neural network: As the novel pipelines in multiple preprocessing for Raman spectroscopy 期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2023, 卷号: 302
作者:  Gao, Chi;  Zhao, Peng;  Fan, Qi;  Jing, Haonan;  Dang, Ruochen;  Sun, Weifeng;  Feng, Yutao;  Hu, Bingliang;  Wang, Quan
Adobe PDF(2962Kb)  |  收藏  |  浏览/下载：75/0  |  提交时间：2023/09/25
Raman spectroscopy  Deep learning  Baseline correction  Spectroscopy denoising  
Identity Feature Disentanglement for Visible-Infrared Person Re-Identification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2023, 卷号: 19, 期号: 6
作者:  Chen, Xiumei;  Zheng, Xiangtao;  Lu, Xiaoqiang
Adobe PDF(4309Kb)  |  收藏  |  浏览/下载：64/0  |  提交时间：2023/09/06
Visible-infrared person re-identification  cross-modal  deep learning  feature disentanglement  
Extraction and analysis algorithms for Sanxingdui cultural relics based on hyperspectral imaging 期刊论文
Computers and Electrical Engineering, 2023, 卷号: 111
作者:  Qiu, Shi;  Zhang, Pengchang;  Li, Siyuan;  Hu, Bingliang
Adobe PDF(8586Kb)  |  收藏  |  浏览/下载：50/0  |  提交时间：2023/10/30
Sanxingdui Ruins  Hyperspectral  Unet  FCM  
Broadband Achromatic Metalens for Tunable Focused Vortex Beam Generation in the Near-Infrared Range 期刊论文
NANOMATERIALS, 2023, 卷号: 13, 期号: 20
作者:  Zhao, Lvrong;  Jiang, Xiaoqiang;  Wang, Zhihai;  Chen, Yuwei;  Chen, Lu;  Gao, Bo;  Yu, Weixing
Adobe PDF(6425Kb)  |  收藏  |  浏览/下载：45/0  |  提交时间：2023/11/20
near-infrared  metalens  broadband achromatic  vortex beam  tunable  
A new Einstein coefficient method for mesopause–lower thermosphere atmosphere temperature retrieval under a non-local thermal equilibrium situation 期刊论文
Optics Express, 2023, 卷号: 31, 期号: 19, 页码: 30413-30434
作者:  Li, Haotian;  Feng, Yutao;  Li, Faquan;  Wang, Houmao;  Hu, Xiangrui;  He, Weiwei;  Wu, Kuijun
Adobe PDF(8436Kb)  |  收藏  |  浏览/下载：51/0  |  提交时间：2023/10/26
Design and Analysis of a Stable Support Structure for a Near-Infrared Space-Borne Doppler Asymmetric Spatial Heterodyne Interferometer 期刊论文
APPLIED SCIENCES-BASEL, 2023, 卷号: 13, 期号: 18
作者:  Sun, Jian;  Wang, Wei;  Chang, Chenguang;  Fu, Di;  Hao, Xiongbo;  Li, Juan;  Feng, Yutao;  Hu, Bingliang
Adobe PDF(10807Kb)  |  收藏  |  浏览/下载：62/0  |  提交时间：2023/11/02
DASH interferometer  spectral resolution  optimal structure  spring constant  mechanical stress  shear stress  
Spectral Calibration for SO2 Cameras with Light Dilution Effect Correction 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 14
作者:  Wu, Kuijun;  Guo, Jianjun;  Zhang, Zihao;  Zhang, Huiliang;  Li, Juan;  Li, Faquan;  He, Weiwei
Adobe PDF(7046Kb)  |  收藏  |  浏览/下载：43/0  |  提交时间：2023/10/13
SO2 camera  calibration  light dilution  atmospheric scattering  emission rate  
Recent advances of lanthanide nanomaterials in Tumor NIR fluorescence detection and treatment 期刊论文
MATERIALS TODAY BIO, 2023, 卷号: 20
作者:  Fan, Qi;  Sun, Chao;  Hu, Bingliang;  Wang, Quan
Adobe PDF(4376Kb)  |  收藏  |  浏览/下载：83/0  |  提交时间：2023/09/11
Lanthanide nanomaterials  Medical diagnosis  Therapy  Rare earths  Near infrared window  Fluorescence imaging  
Performance Assessment of Four Data-Driven Machine Learning Models: A Case to Generate Sentinel-2 Albedo at 10 Meters 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 10
作者:  Chen, Hao;  Lin, Xingwen;  Sun, Yibo;  Wen, Jianguang;  Wu, Xiaodan;  You, Dongqin;  Cheng, Juan;  Zhang, Zhenzhen;  Zhang, Zhaoyang;  Wu, Chaofan;  Zhang, Fei;  Yin, Kechen;  Jian, Huaxue;  Guan, Xinyu
Adobe PDF(13289Kb)  |  收藏  |  浏览/下载：45/0  |  提交时间：2023/07/03
Sentinel-2  albedo  data-driven machine learning algorithms  remote sensing  
Activities to Promote the Moon as an Absolute Calibration Reference 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 9
作者:  Jing, Zhenhua;  Hu, Xiuqing;  Wang, Yang;  Wu, Ronghua;  Chen, Lin;  Zhang, Lu;  Huang, Yu;  Wang, Shuang;  Li, Shuang;  Zhang, Peng
Adobe PDF(2365Kb)  |  收藏  |  浏览/下载：80/0  |  提交时间：2023/06/12
lunar calibration  traceability  space radiometric measurement  Moon  small satellites constellations  remote sensing