Dimension Reduction Aided Hyperspectral Image Classification with a Small-sized Training Dataset: Experimental Comparisons

Dimension Reduction Aided Hyperspectral Image Classification with a Small-sized Training Dataset: Experimental Comparisons

Hyperspectral images (HSI) provide rich information which may not be captured by other sensing technologies and therefore gradually find a wide range of applications. However, they also generate a large amount of irrelevant or redundant data for a specific task. This causes a number of issues includ...

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Bibliographic Details
Main Authors: Jinya Su, Dewei Yi, Cunjia Liu, Lei Guo, Wen-Hua Chen
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Sensors
Subjects:
feature extraction/selection
image classification
Hyperspectral image
PCA
SVM
Online Access:https://www.mdpi.com/1424-8220/17/12/2726

Internet

https://www.mdpi.com/1424-8220/17/12/2726

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