机构

• 高能物理研究所 [3]
• 地理科学与资源研究所 [2]
• 成都山地灾害与环境研... [1]
• 长春光学精密机械与物... [1]
• 自动化研究所 [1]
• 武汉植物园 [1]
• 更多

采集方式

• OAI收割 [8]
• iSwitch采集 [1]

内容类型

• 期刊论文 [7]
• SCI/SSCI论文 [1]
• 会议论文 [1]

发表日期

• 2024 [1]
• 2021 [1]
• 2019 [2]
• 2017 [2]
• 2014 [1]
• 2013 [1]
• 更多

学科主题

• Neuroscien... [1]

筛选

浏览/检索结果: 共9条，第1-9条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Common-feature-track-matching approach for multi-epoch UAV photogrammetry co-registration 期刊论文  OAI收割 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2024, 卷号: 218, 页码: 392-407 作者:  Li, Xinlong;  Ding, Mingtao;  Li, Zhenhong;  Cui, Peng   |  收藏  |  浏览/下载：7/0  |  提交时间：2025/02/06 Feature matching  Multi-epoch  UAV photogrammetry  Pose estimation  Co-registration   arcPycor: an open-source automated GIS tool to co-register elevation datasets 期刊论文  OAI收割 JOURNAL OF MOUNTAIN SCIENCE, 2021, 卷号: 18, 期号: 4, 页码: 923-931 作者:  Wang Yu-zhe;  Ye Qing-hua   |  收藏  |  浏览/下载：12/0  |  提交时间：2023/08/23 Digital elevation models  DEM co-registration  ArcGIS  Elevation change  Terrain analysis   An efficient method of monitoring slow-moving landslides with long-range terrestrial laser scanning: a case study of the Dashu landslide in the Three Gorges Reservoir Region, China 期刊论文  OAI收割 LANDSLIDES, 2019, 卷号: 16, 期号: 4, 页码: 839-855 作者:  Huang, Ronggang;  Jiang, Liming;  Shen, Xiang;  Dong, Zhen   |  收藏  |  浏览/下载：70/0  |  提交时间：2019/04/10 Long-range TLS  Co-registration  Deformation calculation  Dashu landslide  Three Gorges Reservoir Region   Multi-source Remote Sensing Image Registration Based on Contourlet Transform and Multiple Feature Fusion 期刊论文  OAI收割 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 575-588 作者:  Huan Liu;  Gen-Fu Xiao;  Yun-Lan Tan;  Chun-Juan Ouyang   |  收藏  |  浏览/下载：7/0  |  提交时间：2021/02/22 Feature fusion  multi-scale circle Gaussian combined invariant moment  multi-direction gray level co-occurrence matrix  multi-source remote sensing image registration  contourlet transform.   Rat brain digital stereotaxic white matter atlas with fine tract delineation in paxinos space and its automated applications in dti data analysis 期刊论文  iSwitch采集 Magnetic resonance imaging, 2017, 卷号: 43, 页码: 122-128 作者:  Liang, Shengxiang;  Wu, Shang;  Huang, Qi;  Duan, Shaofeng;  Liu, Hua 收藏  |  浏览/下载：55/0  |  提交时间：2019/04/23 Sprague-dawley rat brain  Dti imaging analysis  White matter atlas  Location  Co-registration   Rat brain digital stereotaxic white matter atlas with fine tract delineation in Paxinos space and its automated applications in DTI data analysis 期刊论文  OAI收割 MAGNETIC RESONANCE IMAGING, 2017, 卷号: 43, 页码: 122-128 作者:  Liang SX(梁胜祥);  Wu S(吴尚);  Huang Q(黄琪);  Duan SF(段绍峰);  Liu H(刘华)   |  收藏  |  浏览/下载：18/0  |  提交时间：2019/08/27 Sprague-Dawley rat brain  DTI imaging analysis  White matter atlas  Location  Co-registration   Co-Registration of Two DEMs: Impacts on Forest Height Estimation From SRTM and NED at Mountainous Areas SCI/SSCI论文  OAI收割 2014 Ni W. J.; Sun G. Q.; Zhang Z. Y.; Guo Z. F.; He Y. T. 收藏  |  浏览/下载：41/0  |  提交时间：2014/12/24 Digital elevation model (DEM) co-registration  forest canopy height  mountain  National Elevation Dataset (NED)  Shuttle Radar Topography  Mission (SRTM)  elevation data  biomass  lidar   A rat brain MRI template with digital stereotaxic atlas of fine anatomical delineations in paxinos space and its automated application in voxel-wise analysis 期刊论文  OAI收割 HUMAN BRAIN MAPPING, 2013, 卷号: 34, 期号: 6, 页码: 1306-1318 作者:  Nie BB(聂彬彬);  Nie, B;  Chen, KW;  Zhao, SJ;  Liu, JH 收藏  |  浏览/下载：17/0  |  提交时间：2016/04/08 SD rat brain  MRI imaging analysis  SPM  normalization  location  co-registration   Astronomical image restoration through atmosphere turbulence by lucky imaging (EI CONFERENCE) 会议论文  OAI收割 3rd International Conference on Digital Image Processing, ICDIP 2011, April 15, 2011 - April 17, 2011, Chengdu, China 作者:  Zhao J.;  Wang J.;  Zhang S. 收藏  |  浏览/下载：27/0  |  提交时间：2013/03/25 In this paper  we develop a lucky imaging system to restore astronomical images through atmosphere turbulence. Our system takes very short exposures  on the order of the atmospheric coherence time. The rapidly changing turbulence leads to a very variable point spread function (PSF)  and the variability of the PSF leads to some frames having better quality than the rest. Only the best frames are selected  aligned and co-added to give a final image with much improved angular resolution. Our system mainly consists of five parts: preprocessing  frame selection  image registration  image reconstruction  and image enhancement. Our lucky imaging system has been successfully applied to restore the astronomical images taken by a 1.23m telescope. We have got clear images of moon surface and Jupiter  and our system can be demonstrated to greatly improve the imaging resolution through atmospheric turbulence. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).