ISBN: 9786206157113 - despeckling & object recognition in synthetic aperture radar imagery: a new approach (7 Ergebnisse)

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PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book covers the contents of my Ph.D work. The despeckling concept of synthetic aperture radar (SAR) imagery and object recognition and classification of the SAR imagery dataset has been covered. The various available literature with their pros and cons and tried to overcome them with a new approach by utilizing some optimization methods has been explained. The SAR image despeckling process has been covered by introducing a new framework in which I have applied a fruit fly optimization algorithm to enhance the execution time and also improved the smoothness of the images without losing any image information. Different machine learning algorithms have been used to compare the classification result based on original SAR imagery and despeckled SAR imagery. Experimental results depict found the improved performance in terms of different parameters. 156 pp. Englisch.…

Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar BibekBibek Kumar, PhD in Computer Science Engineering Engineering (DIT University Dehradun), MTech from NIT Hamirpur, B.Tech from Galgotia College of Engineering and Technology Greater Noida. Bibek Kumar has over 15 years of te.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book covers the contents of my Ph.D work. The despeckling concept of synthetic aperture radar (SAR) imagery and object recognition and classification of the SAR imagery dataset has been covered. The various available literature with their pros and cons and tried to overcome them with a new approach by utilizing some optimization methods has been explained. The SAR image despeckling process has been covered by introducing a new framework in which I have applied a fruit fly optimization algorithm to enhance the execution time and also improved the smoothness of the images without losing any image information. Different machine learning algorithms have been used to compare the classification result based on original SAR imagery and despeckled SAR imagery. Experimental results depict found the improved performance in terms of different parameters.…

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book covers the contents of my Ph.D work. The despeckling concept of synthetic aperture radar (SAR) imagery and object recognition and classification of the SAR imagery dataset has been covered. The various available literature with their pros and cons and tried to overcome them with a new approach by utilizing some optimization methods has been explained. The SAR image despeckling process has been covered by introducing a new framework in which I have applied a fruit fly optimization algorithm to enhance the execution time and also improved the smoothness of the images without losing any image information. Different machine learning algorithms have been used to compare the classification result based on original SAR imagery and despeckled SAR imagery. Experimental results depict found the improved performance in terms of different parameters.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 156 pp. Englisch.…