Graph-Embedding Balanced Transfer Subspace Learning for Hyperspectral Cross-Scene Classification

Hyperspectralcross-scene classification utilizes the prior knowledge of source scenes with known labels to classify unlabeled target scenes via transfer learning. The existing methods did not properly balance the contribution of marginal and conditional distribution to transfer learning. They did no...

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Detalles Bibliográficos

Principais autores:	Yongsheng Zhou, Peiyun Chen, Na Liu, Qiang Yin, Fan Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2022-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Balanced distribution adaptation (BDA) hyperspectral cross-scene classification graph embedding transfer learning
Acceso en liña:	https://ieeexplore.ieee.org/document/9745389/
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