Semi-supervised Spatial-spectral Discriminant Analysis for Hyperspectral Image Classification

Semi-supervised Spatial-spectral Discriminant Analysis for Hyperspectral Image Classification

In order to make full use of the spatial information embedded in the hyperspectral image to improve the classification accuracy, a semi-supervised spatial-spectral discriminant analysis (S<sup>3</sup>DA) algorithm for hyperspectral image classification is proposed. According to the spati...

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Bibliographic Details
Main Authors: HOU Banghuan, WANG Kun, YAO Minli, JIA Weimin, WANG Rong
Format: Article
Language:zho
Published: Surveying and Mapping Press 2017-09-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
hyperspectral image classification
feature extraction
discriminant analysis
spatial-spectral
semi-supervised learning
spatial neighbors
Online Access:http://html.rhhz.net/CHXB/html/2017-9-1098.htm

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http://html.rhhz.net/CHXB/html/2017-9-1098.htm

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