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浏览/检索结果: 共13条,第1-10条 帮助

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A Machine Learning Approach to Crater Classification from Topographic Data 期刊论文  OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 21, 页码: 30
作者:  
Liu, Qiangyi;  Cheng, Weiming;  Yan, Guangjian;  Zhao, Yunliang;  Liu, Jianzhong
  |  收藏  |  浏览/下载:35/0  |  提交时间:2020/05/19
A Machine Learning Approach to Crater Classification from Topographic Data 期刊论文  OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 21, 页码: 30
作者:  
Liu, Qiangyi;  Cheng, Weiming;  Yan, Guangjian;  Zhao, Yunliang;  Liu, Jianzhong
  |  收藏  |  浏览/下载:17/0  |  提交时间:2020/05/19
A machine learning approach to crater classification from topographic data 期刊论文  OAI收割
Remote Sensing, 2019, 卷号: 11, 期号: 21, 页码: 1-30
作者:  
Qiangyi Liu;  Weiming Cheng;  Guangjian Yan;  Yunliang Zhao;  Jianzhong Liu
  |  收藏  |  浏览/下载:70/0  |  提交时间:2020/11/23
Distinguishing Different Cancerous Human Cells by Raman Spectroscopy Based on Discriminant Analysis Methods 期刊论文  OAI收割
APPLIED SCIENCES-BASEL, 2017, 卷号: 7, 期号: 9, 页码: 9
作者:  
Tang, Mingjie;  Xia, Liangping;  Wei, Dongshan;  Yan, Shihan;  Du, Chunlei
  |  收藏  |  浏览/下载:27/0  |  提交时间:2018/03/05
Retrieval of snow depth in Northeast China using FY-3B/MWRI passive microwave remote sensing data (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.; Chen H.; Cao J.
收藏  |  浏览/下载:138/0  |  提交时间:2013/03/25
Comparing with optical remote sensing techniques  passive remote sensing data have been proved to be effective for observing snowpack parameters such as snow depth and snow water equivalent  which can penetrate snowpack without clouds interferences. The Microwave Radiation Imager (MWRI) loaded on the Chinese FengYun-3B (FY-3B) satellite is gradually used in the global environment research through November  2011. In this paper  we proposed a snow depth retrieval algorithm to estimate snow depth in Northeast China using MWRI passive microwave remote sensing data. A decision tree method of snow identification was firstly designed to distinguish different snow cover conditions in order to eliminate other interference signals. After using the proposed decision tree method  the processing results were further used to retrieve the snow depth in Northeast China. Finally  the practical snow depth data and the MODIS data were collected for the accuracy assessment of the proposed snow depth retrieval method. The experimental results demonstrated that the RMSE of snow depth used the proposed method was approximately 3 cm in Northeast China. 2012 SPIE.  
Study on the difference between turfy soil and normal peat soil in China (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Vibration, Structural Engineering and Measurement, ICVSEM2011, October 21, 2011 - October 23, 2011, Shanghai, China
作者:  
Nie L.
收藏  |  浏览/下载:40/0  |  提交时间:2013/03/25
As the special soil  turfy soil and peat soil in China contained some similar properties with high void ratio  high water content  high organic content  etc. But turfy soil also had properties which difference from peat soil. In this paper  based on the formation of the cause and geological environment and geomorphologic characteristics of geological in the quaternary  took the typical and widespread turfy soil and peat soil regions for example  systematically discussed the material composition and macroscopic and microcosmic structural features  put further research on the physical chemistry mechanical characteristics. Then the come to the conclusion that the essential reason for difference between turfy soil and peat soil were decomposition degree and organic content. The result that worse engineering properties such as higher the moisture content  porosity  compressibility  internal cohesion and the lower specific weight  consolidation coefficient and permeability were due to the lower decomposition degree and higher organic content of turfy soil than peat soil. It can provide reference to the practical projects of turfy soil to distinguish peat soil according to this characteristic. (2012) Trans Tech Publications.  
Efficient human action recognition using accumulated motion image and support vector machines (EI CONFERENCE) 会议论文  OAI收割
International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011, Suzhou, China
作者:  
Zhang X.;  Zhang J.;  Zhang J.;  Zhang X.;  Zhang X.
收藏  |  浏览/下载:68/0  |  提交时间:2013/03/25
Vision-based human action recognition provides an advanced interface  and research in this field of human action recognition has been actively carried out. This paper describes a scheme for recognizing human actions from a video sequences. The proposed method is an extension of the Motion History Image(MHI) method based on the ordinal measure of accumulated motion  which is robust to variations of appearances. We define the accumulated motion image(AMI) using image differences firstly. Then the AMI of the video sequencesis resized to a MN regulation following the standard of training phases. Finally  we employ Support Vector Machine(SVM) as a classifier to distinguish the current activity in target video sequences. In a word  our proposed algorithm not only outperforms the state of art on public available KTH data set and Weizmann data set  but also proves practical to some real world applications  in addition  this method is computationally simple and able to achieve a satisfactory accuracy.  
Study on sub-pixel techniques for accurate image measurement of displacement (EI CONFERENCE) 会议论文  OAI收割
2011 2nd International Conference on Advanced Measurement and Test, AMT 2011, June 24, 2011 - June 26, 2011, Nanchang, China
作者:  
Zhang X.;  Zhang X.;  Zhang X.
收藏  |  浏览/下载:16/0  |  提交时间:2013/03/25
Multi-parameters decoupling method with Lamb wave sensor for improving the selectivity of label-free liquid detection (EI CONFERENCE) 会议论文  OAI收割
2011 16th International Solid-State Sensors, Actuators and Microsystems Conference, TRANSDUCERS'11, June 5, 2011 - June 9, 2011, Beijing, China
作者:  
Zhou L.
收藏  |  浏览/下载:24/0  |  提交时间:2013/03/25
Saliva microbiomes distinguish caries-active from healthy human-populations 期刊论文  OAI收割
ISME J, 2011, 期号: 10
作者:  
Xu J
收藏  |  浏览/下载:29/0  |  提交时间:2012/06/01