A New GPU Implementation of Support Vector Machines for Fast Hyperspectral Image Classification

A New GPU Implementation of Support Vector Machines for Fast Hyperspectral Image Classification

The storage and processing of remotely sensed hyperspectral images (HSIs) is facing important challenges due to the computational requirements involved in the analysis of these images, characterized by continuous and narrow spectral channels. Although HSIs offer many opportunities for accurately mod...

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Bibliographic Details
Main Authors:	Mercedes E. Paoletti, Juan M. Haut, Xuanwen Tao, Javier Plaza Miguel, Antonio Plaza
Format:	Article
Language:	English
Published:	MDPI AG 2020-04-01
Series:	Remote Sensing
Subjects:	hyperspectral images (HSIs) support vector machines (SVMs) graphics processing units (GPUs) hardware parallelization
Online Access:	https://www.mdpi.com/2072-4292/12/8/1257

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