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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地质与地球物理研究所 [1]
长春光学精密机械与物... [1]
采集方式
OAI收割 [2]
内容类型
会议论文 [1]
期刊论文 [1]
发表日期
2019 [1]
2006 [1]
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Waveform detection and location of deep earthquakes in the subduction zone beneath Northeast China
期刊论文
OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2019, 卷号: 62, 期号: 8, 页码: 2930-2945
作者:
Jiang JinZhong
;
Chen QiFu
;
Li Jiao
  |  
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2019/10/14
Deep earthquakes
Match & Locate method
Matched Filter method
Double-difference location
Northeast China
Intersectant multi-target serial number fuzzy match by multi-parameters (EI CONFERENCE)
会议论文
OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:
Wang Y.-J.
收藏
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浏览/下载:158/0
  |  
提交时间:2013/03/25
In order to match the intersectant targets' tab when these objects separate
a kind of method that makes use of fuzzy multi-parameter to match targets is proposed. Multi-parameters include the forecasted position after targets separate
target speed
target size and geometry shape
and different parameter corresponds to different influence coefficient
evaluate the integrated matching coefficient that every observation target corresponds to forecasted target
and the corresponding relationship that matching coefficient is the biggest is the best matching result. In order to locate the position and speed of forecasted target
a new method of track forecast is proposed
firstly
Hough transform is used to the object's track before objects intersect
by this
the object's positions that the warp between forecasted location and observation location is large enough is eliminated
then least square method is used for track forecast by the remainder valid positions
and get hold of the forecasted position when objects separate. The experiment results show: when tracking the bulky objects which intersect and separate
the right identification probability of traditional least square method is 87.5%
and the right identification probability of fuzzy match by multi-parameters can attain 96%
the reliability improves in evidence.