中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
机构
采集方式
内容类型
发表日期
学科主题
筛选

浏览/检索结果: 共14条,第1-10条 帮助

条数/页: 排序方式:
Data Augmentation and Spectral Structure Features for Limited Samples Hyperspectral Classification 期刊论文  OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 4, 页码: 20
作者:  
Wang, Wenning;  Liu, Xuebin;  Mou, Xuanqin
  |  收藏  |  浏览/下载:30/0  |  提交时间:2021/04/19
Plastome Evolution in the Hyperdiverse Genus Euphorbia (Euphorbiaceae) Using Phylogenomic and Comparative Analyses: Large-Scale Expansion and Contraction of the Inverted Repeat Region 期刊论文  OAI收割
FRONTIERS IN PLANT SCIENCE, 2021, 卷号: 12, 页码: 712064
作者:  
Wei,Neng;  Perez-Escobar,Oscar A.;  Musili,Paul M.;  Huang,Wei-Chang;  Yang,Jun-Bo
  |  收藏  |  浏览/下载:58/0  |  提交时间:2022/04/02
Multisite schizophrenia classification by integrating structural magnetic resonance imaging data with polygenic risk score 期刊论文  OAI收割
NEUROIMAGE-CLINICAL, 2021, 卷号: 32, 页码: 9
作者:  
Hu, Ke;  Wang, Meng;  Liu, Yong;  Yan, Hao;  Song, Ming
  |  收藏  |  浏览/下载:25/0  |  提交时间:2021/12/28
Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks 期刊论文  OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 4, 页码: 2644-2658
作者:  
Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Wu, Fangfang;  Ma, Qin
  |  收藏  |  浏览/下载:27/0  |  提交时间:2022/03/01
An ensemble learning system for a 4-way classification of Alzheimer's disease and mild cognitive impairment 期刊论文  OAI收割
JOURNAL OF NEUROSCIENCE METHODS, 2018, 卷号: 302, 页码: 75-81
作者:  
Yao, Dongren;  Calhoun, Vince D.;  Fu, Zening;  Du, Yuhui;  Sui, Jing
  |  收藏  |  浏览/下载:62/0  |  提交时间:2018/10/10
An Ensemble Learning System for a 4-Way Classification of Alzheimer’s Disease and Mild Cognitive Impairment 期刊论文  OAI收割
Journal of Neuroscience Methods, 2018, 期号: ****, 页码: ***
作者:  
Yao, Dongren;  Vince, D. Calhoun;  Fu, Zening;  Du, Yuhui
  |  收藏  |  浏览/下载:132/0  |  提交时间:2018/03/23
Classification of microcrystalline celluloses via structures of individual particles measured by synchrotron radiation X-ray micro-computed tomography 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF PHARMACEUTICS, 2017, 卷号: 531, 期号: 2, 页码: 658-667
作者:  
Fang, Longwei;  Yin, Xianzhen;  Wu, Li;  He, Yaping;  He, Yuanzhi
  |  收藏  |  浏览/下载:41/0  |  提交时间:2019/01/08
Structure alignment-based classification of RNA-binding pockets reveals regional RNA recognition motifs on protein surfaces 期刊论文  OAI收割
BMC BIOINFORMATICS, 2017, 卷号: 18, 页码: 13
作者:  
Liu, Zhi-Ping;  Liu, Shutang;  Chen, Ruitang;  Huang, Xiaopeng;  Wu, Ling-Yun
  |  收藏  |  浏览/下载:26/0  |  提交时间:2018/07/30
Engineering geological classification of the structural planes for hydroelectric projects in Emeishan Basalts 期刊论文  OAI收割
Journal of Mountain Science, 2016, 卷号: 13, 期号: 2, 页码: 330-341
作者:  
SUN Shu-qin;  HUANG Run-qiu;  PEI Xiang-jun;  ZHAO Song-jiang
收藏  |  浏览/下载:36/0  |  提交时间:2016/02/19
Evaluation of spatial upscaling methods based on remote sensing data with multiple spatial resolutions (EI CONFERENCE) 会议论文  OAI收割
Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012, San Diego, CA, United states
Ren R.; Gu L.; Cao J.; Chen H.; Sun J.
收藏  |  浏览/下载:29/0  |  提交时间:2013/03/25
In most applications of remote sensing data  special spatial information is required from a finer to a coarser spatial resolution with appropriate upscaling methods. The purpose of this paper is to compare and evaluate current spatial upscaling methods using MODIS remote sensing data with multiple spatial resolutions. In the research  Northeast China was selected as the study area. MODIS data with spatial resolutions of 250 m (2 bands) and 500 m (7 bands) were used as the test data. Through using the selected upscaling methods  the Band 1 and Band 2 data of MODIS were scaled up from 250 m to 500 m spatial resolution. On the basis of land cover characteristics of Northeast China  the MODIS data located in the study area was classified into the five land cover types  including water  grasslands  forests  farmlands and bare lands using maximum likelihood method. The land cover classification results were further compared with MODIS Land Cover Type product. Finally  Structural Similarity (SSIM) was selected to evaluate the effects of these upscaling methods. The research can provide more useful information for spatial scaling transformation in remote sensing data applications. 2012 SPIE.