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Variable Spatial Resolution Vision System In The Infrared Imaging Guidance

Posted on:2007-10-28Degree:MasterType:Thesis
Country:ChinaCandidate:L LuoFull Text:PDF
GTID:2192360182479070Subject:Navigation, guidance and control
Abstract/Summary:PDF Full Text Request
Infrared Imaging Guidance is a homing method that using the image produced by different radiation of heat between target and background. That is a very important and anti-jamming homing system. Now, it has been a mostly develop way of precise guidance weapon. The develop trend of image guidance are large visual field and high acuity with real-time processing. Space-variant Vision System offers a valuable way to solve this confliction. The research area of this paper is Space-variant Vision System and its use in Infrared Imaging Guidance. The main research work is between those follow:1) This paper has explored Log-Polar Transformation, the basic theory of Space-variant Vision System, for a deep level. We propose the concept unified "one-one mapping ring". According to this ring and mapping direction we classify the mapping transformation into two sorts: forward algorithm and reverse algorithm.2) We made an in-depth study the algorithm of unbalanced transformation model in target tracking, figure obtaining, target distinguish, information reducing . Moreover, we have investigated the apply of this model by the property of LPT, which is invariant when circumvolving or zooming.3) We have explored three kind of policies of focus choosing. Space-Variant Vision must be coalescent with focus choosing system. We should use different method in al kinds of apply situation.4 ) The analyse of advantage in improving precision and extension have been made inthis paper. It has offered a valuable way to solve the confliction of large visual field and high acuity with real-time processing in Infrared Imaging Guidance.
Keywords/Search Tags:Infrared Imaging Guidance, Space-variant Vision System, unbalanced transformation, Log-Polar Transformation, one-one mapping ring, Target Distinguish, Focus Choose
PDF Full Text Request
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