A survey of band selection techniques for hyperspectral image classification

Hyperspectral images usually contain hundreds of contiguous spectral bands, which can precisely discriminate the various spectrally similar classes. However, such high-dimensional data also contain highly correlated and irrelevant information, leading to the curse of dimensionality (also called the...

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Bibliographic Details
Main Authors: Shrutika S. Sawant, Manoharan Prabukumar
Format: Article
Language:English
Published: IM Publications Open 2020-06-01
Series:Journal of Spectral Imaging
Subjects:
Online Access:https://www.impopen.com/download.php?code=I09_a5