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A novel approach to hyperspectral band selection based on spectral shape similarity analysis and fast branch and bound search
2014
Engineering applications of artificial intelligence
Key point of time series Conditional mutual information Branch and bound search a b s t r a c t With the development of hyperspectral remote sensing technology, the spectral resolution of the hyperspectral image data becomes denser, which results in large number of bands, high correlation between neighboring bands, and high data redundancy. It is necessary to reduce these bands before further analysis, such as land cover classification and target detection. Aiming at the classification task,
doi:10.1016/j.engappai.2013.07.010
fatcat:kxukw7m2gjaj7c2vzabahrozzm