Analysis of Features for Synthetic Aperture Radar Target Classification (Englisch)
- Neue Suche nach: A. K. McCauley
- Neue Suche nach: A. K. McCauley
2015
- Report / Keine Angabe
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Titel:Analysis of Features for Synthetic Aperture Radar Target Classification
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Beteiligte:A. K. McCauley ( Autor:in )
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Verlag:
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Erscheinungsdatum:2015
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Format / Umfang:80 pages
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Medientyp:Report
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Format:Keine Angabe
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Sprache:Englisch
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Reportnr. / Förderkennzeichen:ADA614538/XAB; AFIT-ENG-MS-15-M-032
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Schlagwörter:Computers, Control & Information Theory , Radiofrequency Detection , Detection & Countermeasures , FEATURE EXTRACTION , SYNTHETIC APERTURE RADAR , TARGET CLASSIFICATION , TARGET RECOGNITION , AMPLITUDE , DISCRIMINANT ANALYSIS , ELECTRIC CONDUCTORS , FALSE ALARMS , FREQUENCY , HIGH PERFORMANCE COMPUTING , HISTOGRAMS , PIXELS , POLARIZATION , SAR(SYNTHETIC APERTURE RADAR) , ATR(AUTOMATIC TARGET RECOGNITION) , HOG(HISTOGRAMS OF ORIENTED GRADIENTS) , RVM(RELEVANCE VECTOR MACHINES) , LDA(LINEAR DISCRIMINANT ANALYSIS) , SPLIT(SPECTRUM PARTED LINKED IMAGE TEST) , SALIENT FEATURE IDENTIFICATION , FEATURE VECTOR , BACKWARD SELECTION , SUBSET SELECTION , THESES , CFAR(CFAR CONSTANT FALSE ALARM RATE) , HPC(HIGH PERFORMANCE COMPUTING) , PEC(PEC PERFECT ELECTRIC CONDUCTOR) , SVM(SVM SUPPORT VECTOR MACHINE) , PIXEL METHOD , CELL METHOD
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