Improving Land Cover Classification Using Genetic Programming for Feature Construction

Improving Land Cover Classification Using Genetic Programming for Feature Construction

Genetic programming (GP) is a powerful machine learning (ML) algorithm that can produce readable white-box models. Although successfully used for solving an array of problems in different scientific areas, GP is still not well known in the field of remote sensing. The M3GP algorithm, a variant of th...

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Bibliographic Details
Main Authors: João E. Batista, Ana I. R. Cabral, Maria J. P. Vasconcelos, Leonardo Vanneschi, Sara Silva
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
genetic programming
evolutionary computation
machine learning
classification
multiclass classification
feature construction
Online Access:https://www.mdpi.com/2072-4292/13/9/1623

Internet

https://www.mdpi.com/2072-4292/13/9/1623

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