Random ensemble feature selection for land cover mapping
Loading...
Date
2009
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
Random ensemble feature selection is a means through
which diversity in ensemble systems is imposed by randomly
selecting the features (bands) that constitute the base
classifiers. This paper provides insight and discusses the
interplay between the size of the resulting ensembles and the
consequent classification accuracy. From the results, it was
observed that classification accuracy increased more as the
number of features per base classifier increases than as the
number of base classifiers increases. That said however,
classification accuracy was seen to increase with additional
features up to a given limit beyond which increasing the
number of features per base classifier did not significantly
increase classification accuracy, a peaking effect probably
due to Hughes phenomenon.
Description
Keywords
Random, Ensemble, Feature, Selection
Citation
Gidudu, A., Bolanle, A. T., & Marwala, T. (2009, July). Random ensemble feature selection for land cover mapping. In 2009 IEEE International Geoscience and Remote Sensing Symposium (Vol. 2, pp. II-840). IEEE.