Ship Detection In Medium Resolution SAR Image Via VGG NET

	International Journal of P2P Network Trends and Technology (IJPTT)
	© 2021 by IJPTT Journal
	Volume-11 Issue-2
	Year of Publication : 2021
	Authors : Madhanmani R, Mr.K.M.Alaaudeen
	DOI :  10.14445/22492615/IJPTT-V11I2P401

Citation

MLA Style:Madhanmani R, Mr.K.M.Alaaudeen "Ship Detection In Medium Resolution SAR Image Via VGG NET" International Journal of P2P Network Trends and Technology 11.2 (2021): 1-5.

APA Style:Madhanmani R, Mr.K.M.Alaaudeen(2021). Ship Detection In Medium Resolution SAR Image Via VGG NET. International Journal of P2P Network Trends and Technology, 11(2),1-5.

Abstract

In recent decades, one of the main significant applications of remote sensing is Synthetic aperture radar (SAR) technology. The SAR images on the previous method can perform with several constraints. In this paper, CNN (Convolutional Neural Network) of VGGnet (Visual Geometry Group) is proposed to detect the ship. By adopting multi-level features to improve the ship detection performance by the convolution layers. These layers are used to fit ships of different sizes. The proposed simulation results are comparable with the prior methods.

References

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Keywords
VGG NET, SAR Image, Ship Detection