Oil Spills or Look-Alikes? Classification Rank of Surface Ocean Slick Signatures in Satellite Data

Oil Spills or Look-Alikes? Classification Rank of Surface Ocean Slick Signatures in Satellite Data

Linear discriminant analysis (LDA) is a mathematically robust multivariate data analysis approach that is sometimes used for surface oil slick signature classification. Our goal is to rank the effectiveness of LDAs to differentiate oil spills from look-alike slicks. We explored multiple combinations...

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Bibliographic Details
Main Authors: Gustavo de Araújo Carvalho, Peter J. Minnett, Nelson F. F. Ebecken, Luiz Landau
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
remote sensing
synthetic aperture radar (SAR)
microwave sensors
optical sensors
image processing
linear discriminant analysis (LDA)
Online Access:https://www.mdpi.com/2072-4292/13/17/3466

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https://www.mdpi.com/2072-4292/13/17/3466

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