Machine-Learning Classification of SAR Remotely-Sensed Sea-Surface Petroleum Signatures—Part 1: Training and Testing Cross Validation

Sea-surface petroleum pollution is observed as “oil slicks” (i.e., “oil spills” or “oil seeps”) and can be confused with “look-alike slicks” (i.e., environmental phenomena, such as low-wind speed, upwelling conditions, chlorophyll, etc.) in synthetic aperture radar (SAR) measurements, the most profi...

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Bibliografische Detailangaben

Hauptverfasser:	Gustavo de Araújo Carvalho, Peter J. Minnett, Nelson F. F. Ebecken, Luiz Landau
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-06-01
Schriftenreihe:	Remote Sensing
Schlagworte:	oil slicks oil spills oil seeps look-alike slicks ocean remote sensing satellite
Online-Zugang:	https://www.mdpi.com/2072-4292/14/13/3027
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