Multidimensional Minimum Euclidean Distance Approach Using Radar Reflectivities for Oil Slick Thickness Estimation

Autor: Bilal Hammoud, Georges Daou, Norbert Wehn
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Sensors, Vol 22, Iss 4, p 1431 (2022)
Druh dokumentu: article
ISSN: 1424-8220
DOI: 10.3390/s22041431
Popis: The need for oil spill monitoring systems has long been of concern in an attempt to contain damage with a rapid response time. When it comes to oil thickness estimation, few reliable methods capable of accurately measuring the thickness of thick oil slick (in mm) on top of the sea surface have been advanced. In this article, we provide accurate estimates of oil slick thicknesses using nadir-looking wide-band radar sensors by incorporating both C- and X-frequency bands operating over calm ocean when the weather conditions are suitable for cleaning operations and the wind speed is very low (
Databáze: Directory of Open Access Journals
Nepřihlášeným uživatelům se plný text nezobrazuje