Maximum simplex volume: an efficient unsupervised band selection method for hyperspectral image
IET Computer Vision, pp. 233-239, 2019.
Hyperspectral imaging makes it possible to obtain object information with fine spectral resolution as well as spatial resolution, which is beneficial to a wide array of applications. However, there is a high correlation among the bands in a hyperspectral image (HSI). Band selection (BS), selecting only some representative bands to describ...More
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