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Despeckling & Object Recognition in Synthetic Aperture RADAR Imagery

Despeckling & Object Recognition in Synthetic Aperture RADAR Imagery

Arshad Husain / Bibek Kumar / Ranjeet Ranjan

99,70 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2023
Materia
Informática: cuestiones generales
ISBN:
9786206157113
99,70 €
IVA incluido
Disponible

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Sobre IBD

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.

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