ES²FL: Ensemble Self-Supervised Feature Learning for Small Sample Classification of Hyperspectral Images

Classification with a few labeled samples has always been a longstanding problem in the field of hyperspectral image (HSI) processing and analysis. Aiming at the small sample characteristics of HSI classification, a novel ensemble self-supervised feature-learning (ES<inline-formula><math xmlns="http...

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Autori principali:	Bing Liu, Kuiliang Gao, Anzhu Yu, Lei Ding, Chunping Qiu, Jia Li
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2022-08-01
Serie:	Remote Sensing
Soggetti:	hyperspectral image classification small sample classification self-supervised learning ensemble learning deep learning
Accesso online:	https://www.mdpi.com/2072-4292/14/17/4236
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