Classification of Hyperspectral Images with Robust Regularized Block Low-Rank Discriminant Analysis

Classification of Hyperspectral Images with Robust Regularized Block Low-Rank Discriminant Analysis

Classification of Hyperspectral Images (HSIs) has gained attention for the past few decades. In remote sensing image classification, the labeled samples are insufficient or hard to obtain; however, the unlabeled ones are frequently rich and of a vast number. When there are no sufficient labeled samp...

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Bibliographic Details
Main Authors: Baokai Zu, Kewen Xia, Wei Du, Yafang Li, Ahmad Ali, Sagnik Chakraborty
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Remote Sensing
Subjects:
hyperspectral image
regularized block low-rank discriminant analysis
semi-supervised discriminant analysis
low-rank representation
feature extraction
Online Access:http://www.mdpi.com/2072-4292/10/6/817

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http://www.mdpi.com/2072-4292/10/6/817

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