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浏览/检索结果: 共9条,第1-9条 帮助

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Future hotter summer greatly increases residential electricity consumption in Beijing: A study based on different house layouts and shared socioeconomic pathways 期刊论文  OAI收割
SUSTAINABLE CITIES AND SOCIETY, 2023, 卷号: 91, 页码: 104453
作者:  
Hu, Qiyuan;  Tang, Jiayue;  Gao, Xiang;  Wang, Sijia;  Zhang, Dan
  |  收藏  |  浏览/下载:22/0  |  提交时间:2024/01/04
The roles of surrounding 2D/3D landscapes in park cooling effect: Analysis from extreme hot and normal weather perspectives 期刊论文  OAI收割
BUILDING AND ENVIRONMENT, 2023, 卷号: 231, 页码: 110053
作者:  
Han, Dongrui;  Xu, Xinliang;  Qiao, Zhi;  Wang, Fei;  Cai, Hongyan
  |  收藏  |  浏览/下载:22/0  |  提交时间:2024/01/04
Increasing population exposure to global warm-season concurrent dry and hot extremes under different warming levels 期刊论文  OAI收割
ENVIRONMENTAL RESEARCH LETTERS, 2021, 卷号: 16, 期号: 9, 页码: 10
作者:  
Liu, Wenbin;  Sun, Fubao;  Feng, Yao;  Li, Chao;  Chen, Jie
  |  收藏  |  浏览/下载:31/0  |  提交时间:2021/11/05
Increasing population exposure to global warm-season concurrent dry and hot extremes under different warming levels 期刊论文  OAI收割
ENVIRONMENTAL RESEARCH LETTERS, 2021, 卷号: 16, 期号: 9, 页码: 10
作者:  
Liu, Wenbin;  Sun, Fubao;  Feng, Yao;  Li, Chao;  Chen, Jie
  |  收藏  |  浏览/下载:21/0  |  提交时间:2021/11/05
Projected increase in compound dry and hot events over global land areas 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2020, 页码: 11
作者:  
Wu Xinying;  Hao Zengchao;  Tang Qiuhong;  Singh, Vijay P.;  Zhang Xuan
  |  收藏  |  浏览/下载:20/0  |  提交时间:2021/03/23
Statistical modeling and CMIP5 simulations of hot spell changes in China 期刊论文  OAI收割
CLIMATE DYNAMICS, 2015, 卷号: 44, 期号: 9-10, 页码: 2859-2872
作者:  
Wang, Weiwen;  Zhou, Wen;  Li, Yun;  Wang, Xin;  Wang, Dongxiao
收藏  |  浏览/下载:17/0  |  提交时间:2016/11/02
Statistical modeling and CMIP5 simulations of hot spell changes in China 期刊论文  OAI收割
CLIMATE DYNAMICS, 2015, 卷号: 44, 期号: 9-10, 页码: 2859-2872
作者:  
Wang, Weiwen;  Zhou, Wen;  Li, Yun;  Wang, Xin;  Wang, Dongxiao
收藏  |  浏览/下载:117/0  |  提交时间:2016/11/02
Spatiotemporal changes of global extreme temperature events (ETEs) since 1981 and the meteorological causes SCI/SSCI论文  OAI收割
2014
作者:  
Wang P.;  Zhang Z.
收藏  |  浏览/下载:27/0  |  提交时间:2014/12/24
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:60/0  |  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).