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Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共11条,第1-10条 帮助

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Bioenergy research under climate change: a bibliometric analysis from a country perspective 期刊论文  OAI收割
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 页码: 14
作者:  
Zhang, Yajie;  Yu, Qiang;  Li, Juan
  |  收藏  |  浏览/下载:63/0  |  提交时间:2021/03/15
Reviews on land use change induced effects on regional hydrological ecosystem services for integrated water resources management SCI/SSCI论文  OAI收割
2015
作者:  
Jin G.;  Wang, P.;  Zhao, T.;  Bai, Y. P.;  Zhao, C. H.
  |  收藏  |  浏览/下载:22/0  |  提交时间:2017/11/09
Radiative forcing over China due to albedo change caused by land cover change during 1990-2010 SCI/SSCI论文  OAI收割
2014
作者:  
Huang L.;  Huang L.
收藏  |  浏览/下载:34/0  |  提交时间:2014/12/24
Functions and limitations of farmer cooperatives as innovation intermediaries: Findings from China SCI/SSCI论文  OAI收割
2014
作者:  
Yang H.
收藏  |  浏览/下载:33/0  |  提交时间:2014/12/24
Simulating the water budget of a Prairie Potholes complex from LiDAR and hydrological models in North Dakota, USA SCI/SSCI论文  OAI收割
2013
作者:  
Feng M.
收藏  |  浏览/下载:19/0  |  提交时间:2014/12/24
Abrupt climate changes of Holocene SCI/SSCI论文  OAI收割
2013
作者:  
Wang F.
收藏  |  浏览/下载:27/0  |  提交时间:2014/12/24
快速图像匹配算法研究 学位论文  OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2011
作者:  
李兵
收藏  |  浏览/下载:90/0  |  提交时间:2015/09/02
The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:  
Sun H.;  Han H.-X.;  Sun H.
收藏  |  浏览/下载:59/0  |  提交时间:2013/03/25
Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring  precision  and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection  the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure  but in order to capture the change of the state space  it need a certain amount of particles to ensure samples is enough  and this number will increase in accompany with dimension and increase exponentially  this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining"  we expand the classic Mean Shift tracking framework.Based on the previous perspective  we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis  Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism  used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation  and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information  this approach also inhibit interference from the background  ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  
Dangerous levels of climate change for agricultural production in China SCI/SSCI论文  OAI收割
2011
作者:  
Zhang Z.
收藏  |  浏览/下载:21/0  |  提交时间:2012/06/08
Scene matching based on directional keylines and polar transform (EI CONFERENCE) 会议论文  OAI收割
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
作者:  
Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:24/0  |  提交时间:2013/03/25
Scene matching under complex background is a priority and difficulty in the field of computer vision  it has the characteristics of rotation and scaling invariance  commonly used in matching real-time collected images and photos for navigation. Scene matching techniques are faced with complex natural scenes  anti-light and anti-slight-distortion  the image distortion exist  applicable for complex scene matching. The project has a new idea: combining the keylines with the vectors description based on polar image translation  such as light  and utilize the rotation-scale-invariance vectors to describe the extracted keylines  change of gray levels  this method includes three steps: keylines extraction  perspective  description and matching. Preliminary experiments show that this keylines-based scene matching algorithm is applicable for image matching under complex background. 2010 IEEE.  scaling and other differences  which cause matching difficult. This paper aims to find a scene matching algorithm