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: Default Article
Published: 2017
Subjects:
Online Access:https://hdl.handle.net/2134/27768
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