中文版 | English

在结果中检索

OPT OpenIR

浏览/检索结果: 共11条，第1-10条 帮助

限定条件                    
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：51/0  |  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  
Duplex-Hierarchy Representation Learning for Remote Sensing Image Classification 期刊论文
Sensors, 2024, 卷号: 24, 期号: 4
作者:  Yuan, Xiaobin;  Zhu, Jingping;  Lei, Hao;  Peng, Shengjun;  Wang, Weidong;  Li, Xiaobin
Adobe PDF(2754Kb)  |  收藏  |  浏览/下载：21/0  |  提交时间：2024/04/08
remote sensing image classification  duplex hierarchy  discriminative representation  confusion score  
Theme-Aware Semi-Supervised Image Aesthetic Quality Assessment 期刊论文
MATHEMATICS, 2022, 卷号: 10, 期号: 15
作者:  Zhang, Xiaodan;  Zhang, Xun;  Xiao, Yuan;  Liu, Gang
Adobe PDF(1322Kb)  |  收藏  |  浏览/下载：96/0  |  提交时间：2022/09/28
image aesthetic assessment  semi-supervised learning  label propagation  deep learning  computer vision  
Design and realization of catadioptric long wave infrared multiscale optical system 期刊论文
Infrared Physics and Technology, 2022, 卷号: 123
作者:  Yang, Shen;  Hu, Wang;  Yaoke, Xue;  Yang, Song;  Yongjie, Xie;  Zhe, Bai;  Yue, Pan;  Meiying, Liu;  Wenhui, Fan
Adobe PDF(5170Kb)  |  收藏  |  浏览/下载：148/0  |  提交时间：2022/04/02
Multiscale optical system  The catadioptric system  Remote sensing  Imaging experiment of prototype  
A novel approach for space debris recognition based on the full information vectors of star points 期刊论文
Journal of Visual Communication and Image Representation, 2020, 卷号: 71
作者:  Du, Yun;  Wen, Desheng;  Liu, Guizhong;  Qiu, Shi;  Yao, Dalei;  Yi, Hongwei;  Liu, Meiying
Adobe PDF(2090Kb)  |  收藏  |  浏览/下载：145/1  |  提交时间：2020/07/21
Space debris recognition  Star image  Binary classifier  Equal probability density curve  Full information vector  
Blur Kernel Estimation by Structure Sparse Prior 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 2
作者:  Yuan, Xiaobin;  Zhu, Jingping;  Li, Xiaobin
Adobe PDF(4601Kb)  |  收藏  |  浏览/下载：171/2  |  提交时间：2020/05/13
blind image deblurring  blur kernel estimation  structure information  sparsity regularization  locality constraint  
Skeleton-Based Action Recognition with Key-Segment Descriptor and Temporal Step Matrix Model 期刊论文
IEEE Access, 2019, 卷号: 7, 页码: 169782-169795
作者:  Li, Ruimin;  Fu, Hong;  Lo, Wai-Lun;  Chi, Zheru;  Song, Zongxi;  Wen, Desheng
Adobe PDF(2563Kb)  |  收藏  |  浏览/下载：133/0  |  提交时间：2020/02/28
Skeleton-based action recognition  view alignment  scale normalization  key-segment descriptor  temporal step matrix model  
Skeleton-Based Action Recognition With Key-Segment Descriptor and Temporal Step Matrix Model 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 169782-169795
作者:  Li, Ruimin;  Fu, Hong;  Lo, Wai-Lun;  Chi, Zheru;  Song, Zongxi;  Wen, Desheng
Adobe PDF(2559Kb)  |  收藏  |  浏览/下载：123/0  |  提交时间：2020/10/30
Skeleton  Motion segmentation  Hidden Markov models  Feature extraction  Three-dimensional displays  Image segmentation  Computational modeling  Skeleton-based action recognition  view alignment  scale normalization  key-segment descriptor  temporal step matrix model  
Optical design of a distributed zoom concentric multiscale meteorological instrument 期刊论文
APPLIED OPTICS, 2018, 卷号: 57, 期号: 18, 页码: 5168-5179
作者:  Shen, Yang;  Wang, Hu;  Wang, Chenchen;  Yue, Pan;  Xue, Yaoke;  Bai, Zhe;  Fan, Xuewu;  Wang, H (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China.
Adobe PDF(3568Kb)  |  收藏  |  浏览/下载：244/3  |  提交时间：2018/07/09
Space debris detection in optical image sequences 期刊论文
APPLIED OPTICS, 2016, 卷号: 55, 期号: 28, 页码: 7929-7940
作者:  Xi, Jiangbo;  Wen, Desheng;  Ersoy, Okan K.;  Yi, Hongwei;  Yao, Dalei;  Song, Zongxi;  Xi, Shaobo;  Xi, Jiangbo (xi15@purdue.edu)
Adobe PDF(2343Kb)  |  收藏  |  浏览/下载：269/5  |  提交时间：2016/10/17
Computer Vision  Errors  Geometrical Optics  Space Debris  Stars  Testing