A Novel Method for L Band SAR Image Segmentation Based on Pulse Coupled Neural Network

International Journal of artificial intelligence research

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Field Value
 
Title A Novel Method for L Band SAR Image Segmentation Based on Pulse Coupled Neural Network
 
Creator Harwikarya, Harwikarya
Rudiarto, Sabar
Sebastian, Glorin
 
Subject Computer Science
Biological Inspired Intelligence
 
Description 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.
 
Publisher STMIK Dharma Wacana
 
Contributor Dr.Devi Fitrianah, MTI, Univeristas Mercu Buana, Pusat Penelitian
 
Date 2021-01-05
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ijair.id/index.php/ijair/article/view/162
10.29099/ijair.v4i2.162
 
Source International Journal of Artificial Intelligence Research; Vol 4, No 2 (2020): December; 117 - 126
2579-7298
10.29099/ijair.v4i2
 
Language eng
 
Relation http://ijair.id/index.php/ijair/article/view/162/pdf
 
Rights Copyright (c) 2021 International Journal of Artificial Intelligence Research
https://creativecommons.org/licenses/by-sa/4.0
 

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