Random-Walker-Based Collaborative Learning for Hyperspectral Image Classification.
IEEE Transactions on Geoscience and Remote Sensing(2017)
摘要
Active learning (AL) and semisupervised learning (SSL) are both promising solutions to hyperspectral image classification. Given a few initial labeled samples, this work combines AL and SSL in a novel manner, aiming to obtain more manually labeled and pseudolabeled samples and use them together with the initial labeled samples to improve the classification performance. First, based on a comparison...
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关键词
Hyperspectral imaging,Training,Labeling,Sun,Support vector machines,Collaborative work
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