FPGA Acceleration of a Composite Kernel SVM for Hyperspectral Image Classification

Hyperspectral image classification is one of the most important techniques for analyzing hyperspectral image that have hundreds of spectrum luminance values of near-infrared to visible light. For this classification, supervised learning methods are widely used, but in general, they typically trade o...

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Bibliographic Details
Main Authors: Kento Tajiri, Tsutomu Maruyama
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9994705/