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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... [1]
沈阳自动化研究所 [1]
采集方式
OAI收割 [2]
内容类型
会议论文 [2]
发表日期
2011 [1]
2004 [1]
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Application of multi-sensor data fusion technology in target recognition
会议论文
OAI收割
2011 3rd International Conference on Advanced Computer Control (ICACC 2011), Harbin, China, January 18-20, 2011
作者:
Xiao YH(肖阳辉)
;
Shi ZL(史泽林)
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浏览/下载:25/0
  |  
提交时间:2012/06/06
D-S algorithm
data fusion
multi-sensor system
target recognition
PSO based gabor wavelet feature extraction method (EI CONFERENCE)
会议论文
OAI收割
2004 International Conference on Information Acquisition, ICIA 2004, June 21, 2004 - June 25, 2004, Hefei, China
作者:
Sun H.
;
Zhang Y.
;
Sun H.
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浏览/下载:20/0
  |  
提交时间:2013/03/25
In this paper
the time of feature extraction is faster. By test in low contrast image
2D continues Gabor wavelets are adopted to realize feature extraction. By optimize Gabor wavelet's parameters of translation
the feasibility and effectiveness of the algorithm are demonstrated by VC++ simulation platform in experiments. 2004 IEEE.
orientation
and scale to make it approximates a local image contour region. The method of Sobel edge detection is used to get the initial position and orientation value of optimization in order to improve the convergence speed. In the wavelet characteristic space
we adopt PSO (particle swarm optimization) Algorithm to identify points on the security border of the system. Comparing to the LM algorithm
it can ensure reliable convergence the target
which can improve convergent speed