Extended Averaged Learning Subspace Method for Hyperspectral Data Classification

Extended Averaged Learning Subspace Method for Hyperspectral Data Classification

Averaged learning subspace methods (ALSM) have the advantage of being easily implemented and appear to outperform in classification problems of hyperspectral images. However, there remain some open and challenging problems, which if addressed, could further improve their performance in terms of clas...

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Bibliographic Details
Main Authors: Yoshifumi Yasuoka, Xiaohui Wang, Wataru Takeuchi, Yoshiki Yamagata, Hasi Bagan
Format: Article
Language:English
Published: MDPI AG 2009-06-01
Series:Sensors
Subjects:
hyperspectral
remote sensing
subspace method
averaged learning subspace method
dimension reduction
land cover
classification
normalization
Online Access:http://www.mdpi.com/1424-8220/9/6/4247/

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http://www.mdpi.com/1424-8220/9/6/4247/

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