A Dimension Reduction Framework for HSI Classification Using Fuzzy and Kernel NFLE Transformation

A Dimension Reduction Framework for HSI Classification Using Fuzzy and Kernel NFLE Transformation

In this paper, a general nearest feature line (NFL) embedding (NFLE) transformation called fuzzy-kernel NFLE (FKNFLE) is proposed for hyperspectral image (HSI) classification in which kernelization and fuzzification are simultaneously considered. Though NFLE has successfully demonstrated its discrim...

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Bibliographic Details
Main Authors: Ying-Nong Chen, Cheng-Ta Hsieh, Ming-Gang Wen, Chin-Chuan Han, Kuo-Chin Fan
Format: Article
Language:English
Published: MDPI AG 2015-10-01
Series:Remote Sensing
Subjects:
hyperspectral image classification
manifold learning
nearest feature line embedding
kernelization
fuzzification
Online Access:http://www.mdpi.com/2072-4292/7/11/14292

Internet

http://www.mdpi.com/2072-4292/7/11/14292

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