A NEW MULTIPLE CLASSIFIER SYSTEM BASED ON A PSO ALGORITHM FOR THE CLASSIFICATION OF HYPERSPECTRAL IMAGES
Multiple classifier systems (MCSs) have shown great performance for the classification of hyperspectral images. The requirements for a successful MCS are 1) diversity between ensembles and 2) good classification accuracy of each ensemble. In this paper, we develop a new MCS method based on a particl...
Main Authors: | S. H. Alizadeh Moghaddam, M. Mokhtarzade, S. A. Alizadeh Moghaddam |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2019-10-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W18/71/2019/isprs-archives-XLII-4-W18-71-2019.pdf |
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