Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral imagesDownload PDFOpen Website

Published: 01 Jan 2019, Last Modified: 16 May 2023IET Image Process. 2019Readers: Everyone
Abstract: Dimensionality reduction is of high importance in hyperspectral data processing, which can effectively reduce the data redundancy and computation time for improved classification accuracy. Band selec...
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