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Research on Nonuniformity Correction of Infrared Focal Plane Array

Author: ZhaoYan
Tutor: ShenZhenKang´╝ŤZhangZuo
School: National University of Defense Science and Technology
Course: Information and Communication Engineering
Keywords: Infrared focal plane arrays Non - uniformity correction Wavelet Transform Kalman filtering Neural Networks Matlab Blind yuan compensation Motion Analysis
CLC: TP391.41
Type: Master's thesis
Year: 2007
Downloads: 270
Quote: 7
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Abstract


Infrared imaging guidance is a major trend of the development of guided weapons today, this paper weaponry pre-research fund projects carried out in-depth analysis and research on the problem of non-uniformity correction of infrared focal plane array infrared image preprocessing. The main work and characteristics are as follows, targeted non-uniformity correction, the paper describes the main features of infrared focal plane of the causes of non-uniformity, and the infrared image from the infrared thermal imaging system composed In the latter part of the second chapter, based on the measured data, and curve fitting to generate infrared detection element response characteristic curve, which laid the foundation below the non-uniformity correction algorithm. In serious research at home and abroad on the basis of infrared focal plane array non-uniformity correction algorithm developments, research and analysis of the basic principles of the two types of algorithms, a correction algorithm is based on the given punctuation, including a point of law two-point method and the \3 point method, the two-point method, on the basis of the above analysis, the \Point method with wavelet transform algorithm combining algorithm applicable temperature dynamic range is increased to a certain extent; the two-point method, based on the \the curve correction algorithm applies the dynamic range, and the accuracy of the two-point method of correction, and the correction algorithm based on the \4, in order to meet the needs of engineering practice, the introduction of improved multi-point calibration algorithm, Kalman filter algorithms and correction algorithm based on neural network classification zone properties. Improved multi-point calibration algorithm and traditional multi-point calibration compared to significantly reduce the amount of data that needs to be stored, improve accuracy; Kalman filter algorithm to calculate the correction parameters via offline, to meet the needs of real-time correction; classification based on regional property neural network correction algorithm to reduce the traditional fuzzy neural network algorithm on the target and background, and is particularly suitable for small target detection, tracking, identification. 5, as a part of the non-uniformity correction process is essential, in the fourth chapter describes the blind yuan compensation algorithm. The introduction of the blind blind yuan compensation motion analysis methods and neighborhood compensation yuan compensation algorithm. The algorithm involves all Matlab simulation experimental results by a large number of experimental data proved the conclusions drawn in this article.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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