Despeckling & Object Recognition in Synthetic Aperture RADAR Imagery: A New Approach - Brossura

Kumar, Bibek; Ranjan, Ranjeet; Husain, Arshad

 
9786206157113: Despeckling & Object Recognition in Synthetic Aperture RADAR Imagery: A New Approach
Brossura
ISBN 10: 6206157113 ISBN 13: 9786206157113
Casa editrice: LAP LAMBERT Academic Publishing, 2023

Sinossi

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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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2023
Lingua
Inglese
ISBN 10 
6206157113
ISBN 13 
9786206157113
Rilegatura
Copertina flessibile
Numero di pagine
156
Contatto del produttore
non disponibile
Persona responsabile
KreGa Onlinehandel GmbH
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