Testing Multivariate Adaptive Regression Splines (MARS) as a Method of Land Cover Classification of TERRA-ASTER Satellite Images

Testing Multivariate Adaptive Regression Splines (MARS) as a Method of Land Cover Classification of TERRA-ASTER Satellite Images

This work proposes a new method to classify multi-spectral satellite images based on multivariate adaptive regression splines (MARS) and compares this classification system with the more common parallelepiped and maximum likelihood (ML) methods. We apply the classification methods to the land cover...

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Bibliographic Details
Main Authors: Elia Quirós, Ángel M. Felicísimo, Aurora Cuartero
Format: Article
Language:English
Published: MDPI AG 2009-11-01
Series:Sensors
Subjects:
multi-spectral classification
multivariate adaptive regression splines (MARS)
area under the ROC curve (AUC)
TERRA-ASTER image
Online Access:http://www.mdpi.com/1424-8220/9/11/9011/

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