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Modeling and Simulation of Spaceborne Pushbroom Infrared Imaging Sensor

Author: NingDianYan
Tutor: ZhangJianQi
School: Xi'an University of Electronic Science and Technology
Course: Physical Electronics
Keywords: Pushbroom type of infrared imaging sensor Delay integration CCD Super- mode sampling Oversample superimposed Physical effects
CLC: TP212
Type: Master's thesis
Year: 2008
Downloads: 364
Quote: 8
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Abstract


Spaceborne pushbroom type of infrared imaging sensor imaging process model is the premise of pushbroom infrared imaging sensors to optimize the design and evaluation of image quality and system performance . Computer simulation of a conducive to the optimal design of the system , to shorten the design cycle of the system ; two military expenditure savings , improve work efficiency . Spaceborne pushbroom type of infrared imaging sensor modeling and simulation has important significance and broad application prospects . In this paper, the ray tracing method and modulation transfer function spaceborne infrared imaging sensor push broom imaging process , and the main components of the system unit , such as optical systems , detectors , signal processing circuit has a typical the effect modeling studies , taking into account the jitter and image motion impact to the quality of imaging sensors imaging satellite . MATLAB simulation of the impact to the image quality of these typical effects on the computer . Meanwhile, the two typical the oversampling (super mode sampling and is oversample overlay ) spaceborne pushbroom type of infrared imaging sensor modeling and simulation , the last image evaluation to analyze the simulation results . These efforts have achieved good results. This article has the following salient features : simulation pushbroom type different than staring spaceborne infrared imaging sensor several typical effect ; established super- mode sampling pushbroom type of infrared imaging sensor model and system simulation results are given ; subdivision sampling model superimposed infrared imaging sensor and system simulation results are given . Finally, the simulation results of the statistical analysis .

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