Learning Relevant Features of Optical Water Types

Katalin Blix,Ana Belen Ruescas,Juan Emmanuel Johnson,Gustau Camps-Valls

IEEE Geoscience and Remote Sensing Letters（2022）

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摘要

This work introduces a novel method that makes use of machine learning (ML) techniques to classify hyper- and multi spectral observations into optical water types (OWTs). Classification was done using $k$ -means clustering, which was followed by a feature relevance step based on the sensitivity analysis (SA) of the predictive ...

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关键词

Arctic,Training,Optical sensors,Sensitivity,Sea measurements,Optical imaging,Training data

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