Utilization of TiungSAT-1 data for modelling sea surface current

This study introduces a new approach for operational TiungSAT-1 data for modeling coastal current pattern. The Hopfield neural network was used to model sea surface current movements. In matching process using Hopfield neural network, identified features have to be mathematically compared to each ot...

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Main Authors: Marghany, Maged, Hashim, Mazlan, Cracknell, Arthur P.
Format: Conference or Workshop Item
Language:en
Published: 2007
Subjects:
Online Access:http://eprints.utm.my/4774/1/31-Utilization_of_Tiungsat.pdf
http://eprints.utm.my/4774/
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author Marghany, Maged
Hashim, Mazlan
Cracknell, Arthur P.
author_facet Marghany, Maged
Hashim, Mazlan
Cracknell, Arthur P.
author_sort Marghany, Maged
building UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
description This study introduces a new approach for operational TiungSAT-1 data for modeling coastal current pattern. The Hopfield neural network was used to model sea surface current movements. In matching process using Hopfield neural network, identified features have to be mathematically compared to each other in order to build an energy function that will be minimized. In this context, the neuron network has been taken in two dimensions; raw and column in order to match between the similar feature of surface pattern, it was required that the two features were extracted from the same location. The Euler method is used to minimized the energy function of neuron equation. The study shows that the surface current pattern can be modeled by high accuracy of ±0.14 m/s.
format Conference or Workshop Item
id my.utm.eprints-4774
institution Universiti Teknologi Malaysia
language en
publishDate 2007
record_format eprints
spelling my.utm.eprints-47742017-10-19T03:31:37Z http://eprints.utm.my/4774/ Utilization of TiungSAT-1 data for modelling sea surface current Marghany, Maged Hashim, Mazlan Cracknell, Arthur P. TA Engineering (General). Civil engineering (General) This study introduces a new approach for operational TiungSAT-1 data for modeling coastal current pattern. The Hopfield neural network was used to model sea surface current movements. In matching process using Hopfield neural network, identified features have to be mathematically compared to each other in order to build an energy function that will be minimized. In this context, the neuron network has been taken in two dimensions; raw and column in order to match between the similar feature of surface pattern, it was required that the two features were extracted from the same location. The Euler method is used to minimized the energy function of neuron equation. The study shows that the surface current pattern can be modeled by high accuracy of ±0.14 m/s. 2007-11-23 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/4774/1/31-Utilization_of_Tiungsat.pdf Marghany, Maged and Hashim, Mazlan and Cracknell, Arthur P. (2007) Utilization of TiungSAT-1 data for modelling sea surface current. In: International Workshop on Earth Observation Small Satellites for Remote Sensing Applications (EOSS2007), 20-23 November 2007, Berjaya Times Square Hotel and Convention Centre, KL.
spellingShingle TA Engineering (General). Civil engineering (General)
Marghany, Maged
Hashim, Mazlan
Cracknell, Arthur P.
Utilization of TiungSAT-1 data for modelling sea surface current
title Utilization of TiungSAT-1 data for modelling sea surface current
title_full Utilization of TiungSAT-1 data for modelling sea surface current
title_fullStr Utilization of TiungSAT-1 data for modelling sea surface current
title_full_unstemmed Utilization of TiungSAT-1 data for modelling sea surface current
title_short Utilization of TiungSAT-1 data for modelling sea surface current
title_sort utilization of tiungsat-1 data for modelling sea surface current
topic TA Engineering (General). Civil engineering (General)
url http://eprints.utm.my/4774/1/31-Utilization_of_Tiungsat.pdf
http://eprints.utm.my/4774/
url_provider http://eprints.utm.my/