urrently, a significant amount of research is focused on detecting Marine Debris and assessing its spectral behaviour via remote sensing, ultimately aiming at new operational monitoring solutions. Here, we introduce a Marine Debris Archive (MARIDA), as a benchmark dataset for developing and evaluating Machine Learning (ML) algorithms capable of detecting Marine Debris.

DOI Link: 
10.21227/xdp2-yq87
Links or DOI: 
MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data
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[1] Katerina Kikaki, "MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/xdp2-yq87. Accessed: Jan. 21, 2025.
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doi = {10.21227/xdp2-yq87},
url = {http://dx.doi.org/10.21227/xdp2-yq87},
author = {Katerina Kikaki },
publisher = {IEEE Dataport},
title = {MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data},
year = {2023} }
TY - DATA
T1 - MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data
AU - Katerina Kikaki
PY - 2023
PB - IEEE Dataport
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Katerina Kikaki. (2023). MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data. IEEE Dataport. http://dx.doi.org/10.21227/xdp2-yq87
Katerina Kikaki, 2023. MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data. Available at: http://dx.doi.org/10.21227/xdp2-yq87.
Katerina Kikaki. (2023). "MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data." Web.
1. Katerina Kikaki. MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/xdp2-yq87
Katerina Kikaki. "MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data." doi: 10.21227/xdp2-yq87