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...

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Bibliographic Details
Main Authors: Qian Shi, Yipeng Zhang, Xiaoping Liu, Kefei Zhao
Format: Article
Language:English
Published: Wiley 2019-03-01
Series:IET Computer Vision
Subjects:
hyperspectral image classification
source domain
target domain
regularisation
Bregman divergence
subspace learning algorithm
Online Access:https://doi.org/10.1049/iet-cvi.2018.5145

Internet

https://doi.org/10.1049/iet-cvi.2018.5145

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