Marghany, Maged and Hashim, Mazlan (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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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 Â±0.14 m/s.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||TiungSAT-1, hopfield neural network, neuron network|
|Subjects:||T Technology > TA Engineering (General). Civil engineering (General)|
|Divisions:||Geoinformation Science And Engineering (Formerly known)|
|Deposited By:||En. Tajul Ariffin Musa|
|Deposited On:||02 Jan 2008 01:25|
|Last Modified:||20 Nov 2012 07:36|
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