A new neural network for sea target detection

Author

Khayati, Ali ; Mirghasemi, S.

Author_Institution

Comput. & IT Dept., Islamic Azad Univ. Parand Branch, Parand, Iran

fYear

2011

fDate

8-11 May 2011

Abstract

Sea target detection is an important goal for military purposes and navigation. Environmental noise and sea clutter are two major problems in sea target detection. A new novel Neural Network in Kernel Space (NNKS) is presented for classification of the target and non-target in color images, and it is followed with a new kernel neuron sea target detection system (KNNS) which is efficient especially in the critical color images with clutter, noise and complex background that relative methods are not effective. The neural network is trained with color characteristics of the target and non-target from the HSV color space.

Keywords

image classification; image colour analysis; military computing; neural nets; object detection; HSV color space; color image classification; environmental noise; kernel neuron sea target detection system; military navigation; military purposes; neural network in kernel space; sea clutter; Artificial neural networks; Feature extraction; Image color analysis; Kernel; Least squares approximation; Object detection; Training; Color segmentation; Kernel-based neural network; Noisy image detection; Sea target detection; Supervised learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on

Conference_Location

Niagara Falls, ON

ISSN

0840-7789

Print_ISBN

978-1-4244-9788-1

Electronic_ISBN

0840-7789

Type

conf

DOI

10.1109/CCECE.2011.6030403

Filename

6030403