Artificial neural networks for satellite image classification of shoreline extraction for land and water classes of the north west coast of Peninsular Malaysia

Artificial neural networks for satellite image classification of shoreline extraction for land and water classes of the north west coast of Peninsular Malaysia

Monitoring and measuring the shoreline of coastal zones helps establish the boundary of a country. Such an activity entails ground survey, topographic survey, aerial photo, or remote sensing techniques to extract the shoreline. For example, the remote sensing technique to determine shorelines involv...

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Bibliographic Details
Main Authors: Abd Manaf, Syaifulnizam, Mustapha, Norwati, Sulaiman, Md. Nasir, Husin, Nor Azura, Abdul Hamid, Mohd Radzi
Format: Article
Language:English
Published: American Scientific Publishers 2018
Online Access:http://psasir.upm.edu.my/id/eprint/64657/
http://psasir.upm.edu.my/id/eprint/64657/1/Artificial%20neural%20networks%20for%20satellite%20image%20classification%20of%20shoreline%20extraction%20for%20land%20and%20water%20classes%20of%20the%20north%20west%20coast%20of%20Peninsular%20Malaysia.pdf

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