Assessment of Machine Learning Algorithms for Automatic Benthic Cover Monitoring and Mapping Using Towed Underwater Video Camera and High-Resolution Satellite Images

Benthic habitat monitoring is essential for many applications involving biodiversity, marine resource management, and the estimation of variations over temporal and spatial scales. Nevertheless, both automatic and semi-automatic analytical methods for deriving ecologically significant information fr...

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Bibliographic Details
Main Authors: Hassan Mohamed, Kazuo Nadaoka, Takashi Nakamura
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/10/5/773