most citedCross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification

38 citations · 73 across the 2 of their papers we have counts for

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eess.IV2018★ 38 cited

Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification

Yao Qin, Lorenzo Bruzzone, Biao Li +1

This paper introduces a novel heterogenous domain adaptation (HDA) method for hyperspectral image classification with a limited amount of labeled samples in both domains. The metho…