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September 10, 2025Frontiers in Remote SensingOpen Access

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

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Authors

LDLuc Simiroré DiattaKSKatia SchörleZAZahra Akacha

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Overview

This analysis reviews methods like Watershed and Meanshift for coastline extraction, emphasizing shoreline dynamics.

Key Points

  • The Watershed algorithm showed the highest accuracy in coastline extraction compared to manual methods.
  • Over 10 years, the average retreat of the shoreline was determined to be −0.33 m/year.
  • Complexities include sensor angle effects, particularly on cliffs, impacting detection accuracy.
  • The MNF-Laplacian filter achieved a remarkable 98.8% coastline extraction success rate.

Cite This Study

Diatta et al. (2025) studied this question.

synapsesocial.com/papers/68c1a26954b1d3bfb60dd8c9https://doi.org/10.3389/frsen.2025.1542241
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