A new kernel method for hyperspectral image feature extraction

A new kernel method for hyperspectral image feature extraction

Hyperspectral image provides abundant spectral information for remote discrimination of subtle differences in ground covers. However, the increasing spectral dimensions, as well as the information redundancy, make the analysis and interpretation of hyperspectral images a challenge. Feature extractio...

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Bibliographic Details
Main Authors: Bin Zhao, Lianru Gao, Wenzhi Liao, Bing Zhang
Format: Article
Language:English
Published: Taylor & Francis Group 2017-10-01
Series:Geo-spatial Information Science
Subjects:
Hyperspectral image
dimensionality reduction
feature extraction
image segmentation
kernel method
Online Access:http://dx.doi.org/10.1080/10095020.2017.1403088

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