Paper
6 August 2018 Detection of marine fronts: a comparison between different approaches applied on the SST product derived from Sentinel-3 data
Author Affiliations +
Proceedings Volume 10773, Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018); 1077305 (2018) https://doi.org/10.1117/12.2324126
Event: Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018), 2018, Paphos, Cyprus
Abstract
Fronts, which are sharp boundaries between distinct water masses, play a substantial role in managing biodiversity of marine species and preserving a resilient ecosystem. The overarching aim of this study is to compare different methodologies for detecting marine fronts. Many marine fronts are identifiable by their strong temperature gradient. For that reason, this study tests how two different edge detection methodologies (Laplacian and Canny) performs on detecting marine once applied on the Sea Surface Temperature (SST) product of the Sentinel-3 SLSTR instrument. In a few words, the results of this study showed that the Laplacian edge detection overestimates fronts, while the Canny Edge detection algorithm underestimates them. It worth highlighting though that the results are significantly improved using the appropriate filtering and/or image enhancements. The results of the Canny Edge detection algorithm were improved when a histogram equalisation image enhancement was applied before the Canny Edge and the results of the Laplacian detector were improved with median filtering.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Milto Miltiadou, Christiana Papoutsa, Vassilia Karathanassi, Polychronis Kolokoussis, Virginie Lafon, Dimitris Sykas, Anastasia Sarelli, Maria Prodromou, and Diofantos Hadjimitsis "Detection of marine fronts: a comparison between different approaches applied on the SST product derived from Sentinel-3 data", Proc. SPIE 10773, Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018), 1077305 (6 August 2018); https://doi.org/10.1117/12.2324126
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KEYWORDS
Image filtering

Digital filtering

Image enhancement

Edge detection

Ocean optics

Detection and tracking algorithms

Sensors

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