OPT OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共5条,第1-5条 帮助

限定条件                
已选(0)清除 条数/页:   排序方式:
Hyperspectral deep convolution anomaly detection based on weight adjustment strategy 期刊论文
Applied Optics, 2020, 卷号: 59, 期号: 31, 页码: 9633-9642
作者:  Chong, Dan;  Hu, Bingliang;  Gao, Xiaohui;  Gao, Hao;  Xia, Pu;  Wu, Yinhua
Adobe PDF(2184Kb)  |  收藏  |  浏览/下载:153/4  |  提交时间:2020/12/01
A Denoising Method of Remote Sensing Images Based on Improved BM3D 会议论文
Proceedings of the 4th International Conference on Computer Science and Application Engineering, CSAE 2020, Virtual, Online, China, 2020-10-20
作者:  Chen, Junyu;  Li, Haiwei;  Chen, Tieqiao;  Hu, Bingliang;  Zhang, Geng;  Wang, Shuang;  Liu, Song
Adobe PDF(1729Kb)  |  收藏  |  浏览/下载:152/2  |  提交时间:2020/11/16
Block-matching  Search strategy  BM3D  Multi-scale detail boosting  Edge detection  
Restoration Method of Hadamard Coding Spectral Imager 期刊论文
APPLIED SPECTROSCOPY, 2020, 卷号: 74, 期号: 5, 页码: 583-596
作者:  Tang Xingjia;  Xu Zongben;  Li Libo;  Wang Shuang;  Hu Bingliang;  Wang Feng
Adobe PDF(1032Kb)  |  收藏  |  浏览/下载:184/5  |  提交时间:2020/05/29
Hadamard coding  spectral imaging  error analysis  reconstruction method  push-sweep  
Neural-Adaptive Finite-Time Formation Tracking Control of Multiple Nonholonomic Agents with a Time-Varying Target 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 62943-62953
作者:  Zhou, Kai-Bo;  Wu, Xiao-Kang;  Ge, Ming-Feng;  Liang, Chang-Duo;  Hu, Bing-Liang
Adobe PDF(3034Kb)  |  收藏  |  浏览/下载:151/1  |  提交时间:2020/05/19
Multiple nonholonomic agent system (MNAS)  leader-following formation tracking problem (FTP)  radial basis function (RBF) neural network  distributed controller-estimator algorithm(DCEA)  
Overview of spaceborne hyperspectral imagers and the research progress in bathymetric maps 会议论文
Second Target Recognition and Artificial Intelligence Summit Forum, Shenyang, China, 2019-08-28
作者:  Jia, Xinyin;  Li, Siyuan;  Ke, Shanliang;  Hu, Bingliang
Adobe PDF(506Kb)  |  收藏  |  浏览/下载:277/2  |  提交时间:2020/03/23
Bathymetry maps  satellite-borne hyperspectral imagers  LiDAR  coastal zone