Evaluating textural descriptors for automated image classification of stony reefs in turbid temperate waters

The rise of machine learning (ML) techniques has made automatic image classification increasingly relevant and essential for marine biologists. Despite advancements in computational power and growing interest in the field, underwater image analysis remains a significant challenge, especially in high...

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Bibliographic Details
Main Authors: Saulė Medelytė, Yuri Rzhanov, Andrius Šiaulys, Kim Lowell
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Ecological Informatics
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Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125002456
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