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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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
American Scientific Publishers
2018
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Online Access: | 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 http://psasir.upm.edu.my/id/eprint/64657/ https://www.ingentaconnect.com/contentone/asp/asl/2018/00000024/00000002/art00128 |
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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.pdfhttp://psasir.upm.edu.my/id/eprint/64657/
https://www.ingentaconnect.com/contentone/asp/asl/2018/00000024/00000002/art00128