中文版 | English

在结果中检索

OPT OpenIR

浏览/检索结果: 共42条，第1-10条 帮助

限定条件                        
已选(0)清除 条数/页：   排序方式：
Atmospheric diffuse transmittance of the linear polarization component of water-leaving radiation 期刊论文
Optics Express, 2022, 卷号: 30, 期号: 15, 页码: 27196-27213
作者:  Pan, Tianfeng;  He, Xianqiang;  Bai, Yan;  Liu, Jia;  Zhu, Qiankun;  Gong, Fang;  Li, Teng;  Jin, Xuchen
Adobe PDF(6220Kb)  |  收藏  |  浏览/下载：104/0  |  提交时间：2022/08/31
Experimental Study on Bottom-Up Detection of Underwater Targets Based on Polarization Imaging 期刊论文
SENSORS, 2022, 卷号: 22, 期号: 8
作者:  Pan, Tianfeng;  He, Xianqiang;  Zhang, Xuan;  Liu, Jia;  Bai, Yan;  Gong, Fang;  Li, Teng
Adobe PDF(5792Kb)  |  收藏  |  浏览/下载：112/0  |  提交时间：2022/05/07
underwater polarization imaging  targets  polarization parameters  bottom-up observation  angle of polarization (AOP)  
Snapshot compressive spectral-depth imaging based on light field 期刊论文
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2022, 卷号: 2022, 期号: 1
作者:  Ding, Xiaoming;  Yan, QiangQiang;  Hu, Liang;  Zhou, Shubo;  Wei, Ruyi;  Wang, Xiaocheng;  Li, Yupeng
Adobe PDF(3326Kb)  |  收藏  |  浏览/下载：141/0  |  提交时间：2022/02/14
Multidimensional Imaging  Spectral imaging  Compressed sensing  Light field  Depth estimation  
Atmospheric correction of geostationary satellite ocean color data under high solar zenith angles in open oceans 期刊论文
Remote Sensing of Environment, 2020, 卷号: 249
作者:  Li, Hao;  He, Xianqiang;  Bai, Yan;  Shanmugam, Palanisamy;  Park, Young-Je;  Liu, Jia;  Zhu, Qiankun;  Gong, Fang;  Wang, Difeng;  Huang, Haiqing
Adobe PDF(22578Kb)  |  收藏  |  浏览/下载：177/0  |  提交时间：2020/08/26
Ocean color remote sensing  Geostationary satellite  Atmospheric correction  High solar zenith angle  Neural network  
Detection of Solitary Pulmonary Nodules Based on Brain-Computer Interface 期刊论文
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2020, 卷号: 2020
作者:  Qiu, Shi;  Li, Junjun;  Cong, Mengdi;  Wu, Chun;  Qin, Yan;  Liang, Ting
Adobe PDF(1380Kb)  |  收藏  |  浏览/下载：125/1  |  提交时间：2020/07/27
Feasibility of hyperspectral analysis for discrimination of rabbit liver VX2 tumor 期刊论文
WORLD JOURNAL OF GASTROINTESTINAL ONCOLOGY, 2019, 卷号: 11, 期号: 1, 页码: 1–8
作者:  Duan, Feng;  Yuan, Jing;  Liu, Xuan;  Cui, Li;  Bai, Yan-Hua;  Li, Xiao-Hui;  Xu, Huang-Rong;  Liu, Chen-Yang;  Yu, Wei-Xing
Adobe PDF(4482Kb)  |  收藏  |  浏览/下载：170/0  |  提交时间：2019/03/20
Hyperspectral analysis  VX2 tumor  Liver cancer  Diagnosis  Animal experiment  
Exploring Web Images to Enhance Skin Disease Analysis Under A Computer Vision Framework 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 11, 页码: 3080-3091
作者:  Xia, Yingjie;  Zhang, Luming;  Meng, Lei;  Yan, Yan;  Nie, Liqiang;  Li, Xuelong
Adobe PDF(1556Kb)  |  收藏  |  浏览/下载：170/2  |  提交时间：2018/11/09
Skin Disease Inference  Transfer Learning  
CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 11, 页码: 3171-3183
作者:  Han, Junwei;  Chen, Hao;  Liu, Nian;  Yan, Chenggang;  Li, Xuelong
Adobe PDF(2454Kb)  |  收藏  |  浏览/下载：273/3  |  提交时间：2018/11/09
Convolutional Neural Networks (Cnns)  Crossview Transfer  Multiview Fusion  Rgb-d  Salient Object Detection  
Calibration and data restoration of light field modulated imaging spectrometer 期刊论文
CHINESE PHYSICS B, 2018, 卷号: 27, 期号: 8
作者:  Su, Li-Juan;  Yan, Qiang-Qiang;  Yuan, Yan;  Wang, Shi-Feng;  Liu, Yu-Jian
Adobe PDF(1403Kb)  |  收藏  |  浏览/下载：176/0  |  提交时间：2018/09/20
Light Field Modulated Imaging Spectrometer  Linear-variable Filter  Spectral Calibration  Spectral Reconstruction  
Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement 期刊论文
PATTERN RECOGNITION, 2018, 卷号: 79, 页码: 65-78
作者:  Yan, Yijun;  Ren, Jinchang;  Sun, Genyun;  Zhao, Huimin;  Han, Junwei;  Li, Xuelong;  Marshall, Stephen;  Zhan, Jin;  Ren, Jinchang (jinchang.ren@strath.ac.uk)
Adobe PDF(3187Kb)  |  收藏  |  浏览/下载：313/1  |  提交时间：2018/04/19
Background Connectivity  Gestalt Laws Guided Optimization  Image Saliency Detection  Feature Fusion  Human Vision Perception