Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Despeckling & Object Recognition in Synthetic Aperture RADAR Imagery

Despeckling & Object Recognition in Synthetic Aperture RADAR Imagery

Kumar, Bibek
Ranjan, Ranjeet
Husain, Arshad

Paperback

General Computers

ISBN10: 6206157113
ISBN13: 9786206157113
Publisher: Lap Lambert Academic Pub
Published: Apr 12 2023
Pages: 156
Weight: 0.52
Height: 0.36 Width: 6.00 Depth: 9.00
Language: English
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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