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Hyperspectral remote sensing image is a typical high-dimensional data with a large number of redundant informantion, which will impact the classification accuracy. Feature extraction is an effective method to reduce the redundancy of hyperspectral image (HSI) and improve the classification performance. However, most feature extraction methods just consider a single structure information of HSI that...
Big data is one of the hottest research topics in science and technology communities, and it possesses a great application potential in every sector for our society, such as climate, economy, health, social science, and so on. Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, and manage. We can conclude that big data is still in its...
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