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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2007
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Online Access: | http://eprints.utm.my/id/eprint/4774/1/31-Utilization_of_Tiungsat.pdf http://eprints.utm.my/id/eprint/4774/ |
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my.utm.47742017-10-19T03:31:37Z http://eprints.utm.my/id/eprint/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/id/eprint/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. |
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TA Engineering (General). Civil engineering (General) Marghany, Maged Hashim, Mazlan Cracknell, Arthur P. Utilization of TiungSAT-1 data for modelling sea surface current |
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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 |
author |
Marghany, Maged Hashim, Mazlan Cracknell, Arthur P. |
author_facet |
Marghany, Maged Hashim, Mazlan Cracknell, Arthur P. |
author_sort |
Marghany, Maged |
title |
Utilization of TiungSAT-1 data for modelling sea surface current |
title_short |
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_sort |
utilization of tiungsat-1 data for modelling sea surface current |
publishDate |
2007 |
url |
http://eprints.utm.my/id/eprint/4774/1/31-Utilization_of_Tiungsat.pdf http://eprints.utm.my/id/eprint/4774/ |
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13.149126 |