Locally Weighted Discriminant Analysis for Hyperspectral Image Classification

Locally Weighted Discriminant Analysis for Hyperspectral Image Classification

A hyperspectral image (HSI) contains a great number of spectral bands for each pixel, which will limit the conventional image classification methods to distinguish land-cover types of each pixel. Dimensionality reduction is an effective way to improve the performance of classification. Linear discri...

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Bibliographic Details
Main Authors: Xiaoyan Li, Lefei Zhang, Jane You
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Remote Sensing
Subjects:
hyperspectral image (HSI) classification
linear discriminant analysis (LDA)
dimensionality reduction
spatial-spectral information
Online Access:http://www.mdpi.com/2072-4292/11/2/109

Internet

http://www.mdpi.com/2072-4292/11/2/109

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