Advancing coral reef monitoring: a deep learning perspective on automated segmentation and classification

In this study, we investigate the potential of computer vision and artificial intelligence techniques, particularly deep learning, to revolutionize coral reef monitoring. Traditional methods, relying heavily on manual assessments, are labor-intensive and inadequate for the vast and remote areas of c...

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Bibliographic Details

Main Authors:	Malik, Hafizi, Mohd Hanapiah, Muhammad Faiz, Toha, Siti Fauziah, Idris, Ahmad Syahrin, Mustapa, Mohd Zaini, Azmi, Aiman Hisyam, Johari, Hazrul Amirul, Ibrahim, Azhar Mohd, De Wilde, Philippe, Alqedra, Amir I. A.
Format:	Article
Language:	en en
Published:	Springer Nature 2026
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/127544/1/s42452-025-07831-3.pdf http://irep.iium.edu.my/127544/7/127544_Advancing%20coral%20reef%20monitoring_SCOPUS.pdf http://irep.iium.edu.my/127544/ https://link.springer.com/article/10.1007/s42452-025-07831-3?utm_source=getftr&utm_medium=getftr&utm_campaign=getftr_pilot&getft_integrator=scopus https://doi.org/10.1007/s42452-025-07831-3
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