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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [2]
地理科学与资源研究所 [1]
采集方式
OAI收割 [3]
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会议论文 [2]
期刊论文 [1]
发表日期
2019 [1]
2011 [1]
2005 [1]
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Analyzing the Uncertainty of Estimating Forest Aboveground Biomass Using Optical Imagery and Spaceborne LiDAR
期刊论文
OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 6, 页码: 16
作者:
Sun, Xiaofang
;
Li, Guicai
;
Wang, Meng
;
Fan, Zemeng
  |  
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2019/09/24
aboveground biomass
prediction model
number of samples
cross-validation
remotely sensed data
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).
Material properties test and numerical simulation of impact for die cast magnesium alloy (EI CONFERENCE)
会议论文
OAI收割
International Conference on Magnesium - Science, Technology and Applications, September 20, 2004 - September 24, 2004, Beijing, China
Zeng X.
;
Wu Q.
;
Liyuan
;
Fan J.
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浏览/下载:65/0
  |  
提交时间:2013/03/25
The poison's ratio of plane plate samples taken from AM60 magnesium alloy was tested in this paper. A number of strain controlled fatigue experiments were also carried out on MTS to investigate the stress-strain behavior under different temperature conditions. The finite element analysis software ANSYS was employed to simulate impact process of shot blasting. Results indicated that at the specific temperature condition the residual stress and plastic strain increased with impact velocity increasing. At the specific impact velocity
residual stress reduced and plastic strain increased with temperature increment.