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Image-Based Method And Intelligent Evaluation Device For Evaluating The Performance Of InGaAs FPAs

Posted on:2019-09-15Degree:MasterType:Thesis
Country:ChinaCandidate:B Y YangFull Text:PDF
GTID:2428330542999662Subject:Electronics and Communications Engineering
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Short-wave infrared(SWIR)is a kind of electromagnetic radiation between visible light and medium-long-wave infrared.It can obtain a lot of information which cannot be obtained by visible light or medium-long-wave infrared,so SWIR imaging has its own advantages.When compared with medium-long-wave infrared imaging,the outlines and details of SWIR imaging are clearer and the visibility is higher.In the meantime,SWIR is less affected by the atmospheric condensate water when compared with visible light,which means a better atmospheric transmission characteristics.Nowadays,SWIR imaging technology has been widely used in military and civilian applications.SWIR focal plane arrays(FPAs)is the core component of SWIR camera,comprehensive characterization of its performance is really essential.On the one hand,it is conducive to the optimization of FPAs.On the other hand,it may improve the performance of the SWIR FPAs,which has an important significance for the development of high-performance SWIR cameras.This paper focus on the testing methods and test instruments for InGaAs focal plane arrays(FPAs)based on short-wave infrared imaging,and presents a method which can quickly and intuitively evaluating the performance of FPAs based on image.The main contents are as follows:1.Combining the advantages of short-wave infrared imaging and the development of InGaAs FPAs,the current status of testing InGaAs FPAs at home and abroad is described.Based on the existing test parameters,a method for evaluating the performance of InGaAs FPAs based on image is proposed.2.In view of the limitations of existing test system of evaluating infrared FPAs performance,an InGaAs FPAs performance evaluation device based on image was designed.The device was used to obtain the image,and the SWIR FPA was evaluated by analyzing the parameters of image data.The parameters include image noise,blind rate,peak signal-to-noise ratio,non-uniformity,modulation transfer function(MTF)and so on.3.A software for evaluating performance of InGaAs FPAs was designed,and we completed the system design and construction of the device with the help of blackbody and other instruments in the laboratory.In this paper,the performance of InGaAs FPAs was tested,and the results were compared with the data got from the test system of Shanghai Institute of Technology Physics;4.According to the characteristics of the SWIR image,the short-wave infrared image blind compensation,non-uniformity correction and image enhancement techniques are studied.In this paper,we compensated short-wave infrared images by using the spatial compensation method and effectively removed the blind pixels of the image.Also,in order to correct the non-uniformity of the SWIR images,we used the two-point method,which results in a more smooth image and a more obvious target.At the same time,image equalization method is used to enhance the image,and the image after enhancement is richer in detail information.
Keywords/Search Tags:InGaAs FPAs, a method based on image, evaluate, SWIR image processing, short wave infrared imaging
PDF Full Text Request
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