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Study of Algorithm for Infrared Small Target Detection in Clouds Background

Author: YuXiaoYing
Tutor: ShaoXiaoPeng
School: Xi'an University of Electronic Science and Technology
Course: Optical Engineering
Keywords: Cloud background Background suppression Small Target Detection Mathematical Morphology Multi - structural elements
CLC: TN215
Type: Master's thesis
Year: 2009
Downloads: 187
Quote: 2
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Abstract


Infrared small target detection, tracking and recognition technology is one of the key technologies of the extended guided weapons system distance system defense capabilities . This article focuses on the the sky cloud backdrop of weak target detection algorithm in-depth study . First, the actual infrared weak characteristics of the target image analysis , given infrared image model . Second airspace high-pass filter , the two largest median filtering background suppression algorithm of the three cloud background infrared image simulation experiments through the analysis concluded : suppression of the main factors that affect background suppression performance is strong cloud edge . Again with a single structure element morphology inhibit cloud background , noted that the algorithm can not suppress the clouds edges of different directions . Against the the clouds edge of the structure , IR dim target detection algorithm based on multi- structure elements morphology . Principle and structure of the algorithm described in detail , especially the multi- structure elements of the structure , and the focus of the entire algorithm simulation experiments . Experimental results show that the greater the degree of this algorithm can improve the signal-to-noise ratio of the image , candidate target point in a single frame detection , effective single frame dim target detection capability , and the ability to adapt to a variety of characteristics of cloud background . Create good conditions for the subsequent sequence detection and tracking . Finally , pipeline filter method to track the candidate target point in the sequence of images of the single frame detection results obtained target trajectory , which verifies the validity of the multi- structure elements morphology IR dim target detection algorithm . Finally, summarizes the results of the work achieved by the full text , and put forward the outlook of future work .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Photonics technology,laser technology > Infrared technology and equipment > Infrared detection,infrared detectors
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