Active multi-kernel domain adaptation for hyperspectral image classification

作者：

Highlights：

• We propose a multi-kernel domain adaption framework for HIS classification.

• The multiple kernels can help capture the connection among domains.

• The method can adaptively migrate the information across domains.

• We design a nested actively updating process in the framework.

• Experiments validate the superior HIS classification performances.

摘要

•We propose a multi-kernel domain adaption framework for HIS classification.•The multiple kernels can help capture the connection among domains.•The method can adaptively migrate the information across domains.•We design a nested actively updating process in the framework.•Experiments validate the superior HIS classification performances.

论文关键词：Active learning,Multi-kernel,Domain adaptation,Hyperspectral image classification,Remote sensing

论文评审过程：Received 3 February 2017, Revised 17 September 2017, Accepted 7 October 2017, Available online 13 October 2017, Version of Record 6 February 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.10.007