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Hyperspectral Images Classification and Dimensionality Reduction using spectral interaction and SVM classifier. (arXiv:2210.15546v1 [cs.CV])
Oct. 28, 2022, 1:15 a.m. | Asma Elmaizi, Elkebir Sarhrouni, Ahmed Hammouch, Nacir Chafik
cs.CV updates on arXiv.org arxiv.org
Over the past decades, the hyperspectral remote sensing technology
development has attracted growing interest among scientists in various domains.
The rich and detailed spectral information provided by the hyperspectral
sensors has improved the monitoring and detection capabilities of the earth
surface substances. However, the high dimensionality of the hyperspectral
images (HSI) is one of the main challenges for the analysis of the collected
data. The existence of noisy, redundant and irrelevant bands increases the
computational complexity, induce the Hughes phenomenon …
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