Performance of segmentation (watershed and meanshift) and image transformation (MNF-laplacian filter) methods for extracting complex coastlines from Pleiades images: the case of the Kerkena archipelago, Tunisia

Performance of segmentation (watershed and meanshift) and image transformation (MNF-laplacian filter) methods for extracting complex coastlines from Pleiades images: the case of the Kerkena archipelago, Tunisia

With the ongoing surge in global coastal development, understanding shoreline dynamics has become a critical issue, given the inherent vulnerability of coastal fringes to significant mobility. Developing tools to support the sustainable management and future planning of these areas requires a robust...

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Bibliographic Details
Main Authors: Luc Simirore Diatta, Katia Schörle, Zahra Akacha, Semah Bettaieb, Ali Drine, Ameur Oueslati, Luc Lapierre
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Remote Sensing
Subjects:
automatic recognition
coastline
Kerkena
Tunisia
watershed
meanshift
Online Access:https://www.frontiersin.org/articles/10.3389/frsen.2025.1542241/full
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