A Multipath and Multiscale Siamese Network Based on Spatial-Spectral Features for Few-Shot Hyperspectral Image Classification

Deep learning has been demonstrated to be a powerful nonlinear modeling method with end-to-end optimization capabilities for hyperspectral Images (HSIs). However, in real classification cases, obtaining labeled samples is often time-consuming and labor-intensive, resulting in few-shot training sampl...

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Hlavní autoři:	Jinghui Yang, Jia Qin, Jinxi Qian, Anqi Li, Liguo Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-09-01
Edice:	Remote Sensing
Témata:	hyperspectral image (HSI) Siamese network few-shot training samples classification multiscale
On-line přístup:	https://www.mdpi.com/2072-4292/15/18/4391
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