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Research on Subimage Selection and Mathching Method for Synthetic Aperture Radar(SAR) Target Recognition

Author: HuangWeiZuo
Tutor: YangWeiDong
School: Huazhong University of Science and Technology
Course: Pattern Recognition and Intelligent Systems
Keywords: Synthetic Aperture Radar Target recognition Promoter region selection Support Vector Machine Radar image matching
CLC: TN957.52
Type: Master's thesis
Year: 2011
Downloads: 28
Quote: 0
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Target recognition sub - region ( match area ) select the technology is in accordance with certain requirements or criteria to select features on a predetermined flight path , information-rich , the scene image matching technology as a navigation reference . How to build an adaptable selection criteria has been the focus of the scene matching techniques in research . In order to improve the accuracy of the autonomous navigation , many aircraft use a optical scene matching technology , but the optical imaging is easily influenced by the target area of the weather, season , and circadian conditions , ideal for high-quality image can not be obtained in many cases , these shortcomings limit its efficiency . As an active imaging systems , synthetic aperture radar ( Synthetic Aperture Radar , SAR) technology can effectively overcome these shortcomings. SAR not only high-resolution imaging , and has the characteristics of the work around the clock , making it one of the aircraft navigation sensor . This paper focuses on selected core issues in the promoter region of SAR imaging target recognition that the SAR scene regional adaptation issues study selected automatically based on machine learning SAR scene matching area , its main contents include : (1) introduce the principle of scene matching system ; (2) SAR image adaptation characteristics analysis; (3) support vector machine (SVM) principle Profile ; ( 4) selected the promoter region of target recognition based on SVM method . In addition, this paper explores suitable for SAR image matching algorithm and test , and take the constraints based on the spatial relationships promoter region fusion matching strategy to improve the performance of the matching method . The main contribution of this paper is to provide an effective matching area select matching area of application of the method selected aircraft the SAR scene autonomous navigation system matching can effectively reduce errors, improve the matching probability . The last chapter of the thesis summarizes the main work of the full text and pointed out the need for further research .

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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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