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Research on Target Detection in Synthetic Aperture Radar Image

Author: Xie
Tutor: ZhouZuo
School: Nanjing University of Aeronautics and Astronautics
Course: Control Theory and Control Engineering
Keywords: Synthetic Aperture Radar Automatic Target Detection CFAR detection algorithm Generalized likelihood ratio test Snake Model
CLC: TN957.52
Type: Master's thesis
Year: 2011
Downloads: 82
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Abstract


Synthetic aperture radar (SAR) is a state-of-the-art use of electromagnetic waves perception Earth observation tools . Contrast in imaging techniques such as optical , infrared , synthetic aperture radar in the ability to obtain high-resolution and large - area data , also has all-day , all-weather observation and clouds , fog layer , surface plants penetrating characteristics , it has a wide range of applications in the military , civilian various fields . Through a comprehensive and systematic in-depth theoretical and experimental studies , starting from synthetic aperture radar images characterized by the establishment and improvement of the automatic target detection theory and its contour extraction method . First, as a basis for target detection , in-depth study applicable to the description of the synthetic aperture radar image in the metal target area , a statistical model of the land clutter region established on this basis can be more accurately fit the metal target and the mixed region of the land clutter mixed statistical model of the radar data , given the variety of model parameter estimation algorithm and study and summarize the goodness of fit of the model with the measured radar data . Secondly, in terms of target detection post systems studied CFAR detection algorithm , and classic clutter select method has been improved , the experimental results show that in contrast to the traditional CFAR algorithm improved detection algorithm on a target pixels retention capacity With some improvement . CFAR detection algorithm does not consider the statistical properties of the target , is a sub-optimal statistical detection algorithm in order to better target detection , stressed target statistical characteristics of the detection , the paper also in-depth study based on statistical model generalized likelihood ratio target detection algorithm and experimentally confirmed the effectiveness of the algorithm . Finally, the introduction of the traditional edge detection algorithm Snake model image target detection in synthetic aperture radar , has strong speckle noise for image target edge clear improvements Snake model , the algorithm can be better edge detection and contour extraction applied to synthetic aperture radar image target .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar equipment,radar > Radar receiving equipment > Data,image processing and admission
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