Remote sensing of water depths in shallow waters via artificial neural networks

Determination of the water depths in coastal zones is a common requirement for the majority of coastal engineering and coastal science applications. However, production of high quality bathymetric maps requires expensive field survey, high technology equipment and expert personnel. Remotely sensed i...

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Veröffentlicht in:	Estuarine, coastal and shelf science coastal and shelf science, 2010-09, Vol.89 (1), p.89-96
Hauptverfasser:	CEYHUN, Özçelik, YALCIN, Arisoy
Format:	Artikel
Sprache:	eng
Schlagworte:	Animal and plant ecology Animal, plant and microbial ecology artificial neural networks bathymetry Biological and medical sciences Brackish Brackish water ecosystems Coastal Depth measurement Fundamental and applied biological sciences. Psychology General aspects. Techniques Learning theory Methodology Neural networks Remote sensing Shallow water Synecology Teledetection and vegetation maps water depth
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