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Sensors 2009, 9(11), 9011-9028; doi:10.3390/s91109011
Article

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

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 and *
Received: 24 September 2009; in revised form: 1 November 2009 / Accepted: 2 November 2009 / Published: 13 November 2009
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain)
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Abstract: 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 classification of a test zone located in southwestern Spain. The basis of the MARS method and its associated procedures are explained in detail, and the area under the ROC curve (AUC) is compared for the three methods. The results show that the MARS method provides better results than the parallelepiped method in all cases, and it provides better results than the maximum likelihood method in 13 cases out of 17. These results demonstrate that the MARS method can be used in isolation or in combination with other methods to improve the accuracy of soil cover classification. The improvement is statistically significant according to the Wilcoxon signed rank test.
Keywords: multi-spectral classification; multivariate adaptive regression splines (MARS); area under the ROC curve (AUC); TERRA-ASTER image multi-spectral classification; multivariate adaptive regression splines (MARS); area under the ROC curve (AUC); TERRA-ASTER image
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Quirós, E.; Felicísimo, Á.M.; Cuartero, A. Testing Multivariate Adaptive Regression Splines (MARS) as a Method of Land Cover Classification of TERRA-ASTER Satellite Images. Sensors 2009, 9, 9011-9028.

AMA Style

Quirós E, Felicísimo ÁM, Cuartero A. Testing Multivariate Adaptive Regression Splines (MARS) as a Method of Land Cover Classification of TERRA-ASTER Satellite Images. Sensors. 2009; 9(11):9011-9028.

Chicago/Turabian Style

Quirós, Elia; Felicísimo, Ángel M.; Cuartero, Aurora. 2009. "Testing Multivariate Adaptive Regression Splines (MARS) as a Method of Land Cover Classification of TERRA-ASTER Satellite Images." Sensors 9, no. 11: 9011-9028.


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