中文版 | English

在结果中检索

OPT OpenIR

浏览/检索结果: 共294条，第1-10条 帮助

限定条件                        
已选(0)清除 条数/页：   排序方式：
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：34/0  |  提交时间：2024/04/08
Raman spectroscopy  Quantitative analysis  Deep learning  Spectral encoder  Feature extraction  
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：32/0  |  提交时间：2024/04/10
Flood monitoring  Climate change  Snow melting  Pakistan  Synthetic Aperture Radar (SAR)  
Methodology and Modeling of UAV Push-Broom Hyperspectral BRDF Observation Considering Illumination Correction 期刊论文
REMOTE SENSING, 2024, 卷号: 16, 期号: 3
作者:  Wang, Zhuo;  Li, Haiwei;  Wang, Shuang;  Song, Liyao;  Chen, Junyu
Adobe PDF(13548Kb)  |  收藏  |  浏览/下载：50/0  |  提交时间：2024/03/15
UAV  push-broom hyperspectral  BRDF model improvement  data coupling  illumination correction factor  
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：49/0  |  提交时间：2024/03/15
multi-spectral filter array  demosaicing  convolution neural network  
CMID: Crossmodal Image Denoising via Pixel-Wise Deep Reinforcement Learning 期刊论文
Sensors, 2024, 卷号: 24, 期号: 1
作者:  Guo, Yi;  Gao, Yuanhang;  Hu, Bingliang;  Qian, Xueming;  Liang, Dong
Adobe PDF(1987Kb)  |  收藏  |  浏览/下载：50/0  |  提交时间：2024/02/07
deep reinforcement learning  pixel-wise image processing  crossmodal image denoising  infrared image denoising  terahertz image denoising  
Rapid Determination of Positive-Negative Bacterial Infection Based on Micro-Hyperspectral Technology 期刊论文
SENSORS, 2024, 卷号: 24, 期号: 2
作者:  Du, Jian;  Tao, Chenglong;  Qi, Meijie;  Hu, Bingliang;  Zhang, Zhoufeng
Adobe PDF(11828Kb)  |  收藏  |  浏览/下载：65/1  |  提交时间：2024/03/04
micro-hyperspectral technology  bacterial infection  positive-negative determination  spectral feature  directly smeared urine sample  deep learning  
The role of eye movement signals in non-invasive brain-computer interface typing system 期刊论文
Medical and Biological Engineering and Computing, 2024
作者:  Liu, Xi;  Hu, Bingliang;  Si, Yang;  Wang, Quan
Adobe PDF(809Kb)  |  收藏  |  浏览/下载：22/0  |  提交时间：2024/06/03
Brain-computer interface  Speller  EEG  Eye movement  Text input  
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：88/0  |  提交时间：2023/09/25
Raman spectroscopy  Deep learning  Baseline correction  Spectroscopy denoising  
Improvement of the sediment flux estimation in the Yangtze River Estuary with a GOCI data adjusted numerical model 期刊论文
Ocean Modelling, 2023, 卷号: 186
作者:  Xie, Guohu;  Zhang, Yang;  Liu, Jia;  Xue, Huijie;  Ge, Jianzhong;  He, Xianqiang;  Ma, Wentao;  Chai, Fei
Adobe PDF(7878Kb)  |  收藏  |  浏览/下载：71/0  |  提交时间：2023/11/23
Sediment flux  Yangtze River Estuary  Geostationary Ocean Color Imager (GOCI)  Numerical model  Morphology  
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：77/0  |  提交时间：2023/09/06
Visible-infrared person re-identification  cross-modal  deep learning  feature disentanglement