Classification of Oil Slicks and Look-Alike Slicks: A Linear Discriminant Analysis of Microwave, Infrared, and Optical Satellite Measurements

Classification of Oil Slicks and Look-Alike Slicks: A Linear Discriminant Analysis of Microwave, Infrared, and Optical Satellite Measurements

We classify low-backscatter regions observed in Synthetic Aperture Radar (SAR) measurements of the surface of the ocean as either oil slicks or look-alike slicks (radar false targets). Our proposed classification algorithm is based on Linear Discriminant Analyses (LDAs) of RADARSAT-1 measurements (4...

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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 2020-06-01
Series:Remote Sensing
Subjects:
Linear Discriminant Analysis (LDA)
satellite image classification and segmentation algorithm
microwave radar
infrared sensor
optical remote sensing
wind scatterometer
Online Access:https://www.mdpi.com/2072-4292/12/13/2078

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https://www.mdpi.com/2072-4292/12/13/2078

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