Deep Learning-Based Classification of Hyperspectral Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(2014)

引用 2643|浏览156
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摘要
Classification is one of the most popular topics in hyperspectral remote sensing. In the last two decades, a huge number of methods were proposed to deal with the hyperspectral data classification problem. However, most of them do not hierarchically extract deep features. In this paper, the concept of deep learning is introduced into hyperspectral data classification for the first time. First, we ...
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关键词
Hyperspectral imaging,Feature extraction,Training,Logistics,Support vector machines,Principal component analysis
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