Comparison of the Novel Probabilistic Self-Optimizing Vectorized Earth Observation Retrieval Classifier with Common Machine Learning Algorithms

Comparison of the Novel Probabilistic Self-Optimizing Vectorized Earth Observation Retrieval Classifier with Common Machine Learning Algorithms

The Vectorized Earth Observation Retrieval (VEOR) algorithm is a novel algorithm suited to the efficient supervised classification of large Earth Observation (EO) datasets. VEOR addresses shortcomings in well-established machine learning methods with an emphasis on numerical performance. Its charact...

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Bibliographic Details
Main Authors: Jan Pawel Musial, Jedrzej Stanislaw Bojanowski
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
Vectorized Earth Observation Retrieval (VEOR)
machine learning
artificial intelligence
classification
support vector machines
Gaussian process
Online Access:https://www.mdpi.com/2072-4292/14/2/378

Internet

https://www.mdpi.com/2072-4292/14/2/378

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