Regularised transfer learning for hyperspectral image classification

Regularised transfer learning for hyperspectral image classification

This study presents a transfer learning method for addressing the insufficient sample problem in hyperspectral image classification. In order to find common feature representation for both the source domain and target domain, we introduce a regularisation based on Bregman divergence into the objecti...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Qian Shi, Yipeng Zhang, Xiaoping Liu, Kefei Zhao
Format:	Artykuł
Język:	English
Wydane:	Wiley 2019-03-01
Seria:	IET Computer Vision
Hasła przedmiotowe:	hyperspectral image classification source domain target domain regularisation Bregman divergence subspace learning algorithm
Dostęp online:	https://doi.org/10.1049/iet-cvi.2018.5145

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