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Sebastian, Glorin
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Computer Science & IT Electrical & Electronics Engineering

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Journal : International Journal of Artificial Intelligence Research

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A Novel Method for L Band SAR Image Segmentation Based on Pulse Coupled Neural Network Harwikarya, Harwikarya; Rudiarto, Sabar; Sebastian, Glorin
International Journal of Artificial Intelligence Research Vol 4, No 2 (2020): December 2020
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (998.932 KB) | DOI: 10.29099/ijair.v4i2.162

Abstract

Pulse Coupled Neural Network (PCNN) is claimed as a third generation neural network. PCNN has wide purpose in image processing  such as segmentation, feature extraction, sharpening etc.  Not like another neural network architecture, PCNN do not need training. The only weaknes point  of PCNN is parameter tune due to  seven parameters in its five equations. In this research we proposed a novel method for segmentation based on modified PCNN.  In order to evaluate the proposed method, we processed L Band Multipolarisation  Synthetic Apperture Radar Image. The Results showed all area extracted both by using PCNN and ICM-PCNN from the SAR image are match to the groundtruth. There fore the proposed method is work properly.Copyright © 2017  International Journal of  Artificial Intelegence Research.All rights reserved.
Co-Authors Harwikarya Harwikarya Rudiarto, Sabar