On Improving the Training of Models for the Semantic Segmentation of Benthic Communities from Orthographic Imagery

The semantic segmentation of underwater imagery is an important step in the ecological analysis of coral habitats. To date, scientists produce fine-scale area annotations <i>manually</i>, an exceptionally time-consuming task that could be efficiently automatized by modern CNNs. This paper extends ou...

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Detalhes bibliográficos

Principais autores:	Gaia Pavoni, Massimiliano Corsini, Marco Callieri, Giuseppe Fiameni, Clinton Edwards, Paolo Cignoni
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2020-09-01
Colecção:	Remote Sensing
Assuntos:	coral reef monitoring orthomosaics orthoprojections semantic segmentation deep learning
Acesso em linha:	https://www.mdpi.com/2072-4292/12/18/3106
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