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A Survey on Superpixel Segmentation as a Preprocessing Step in Hyperspectral Image Analysis
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Recent developments in hyperspectral sensors have made it possible to acquire HyperSpectral Images (HSI) with higher spectral and spatial resolution. Hence, it is now possible to extract detailed information about relatively smaller structures. Despite these advantages, HSI suffers from many challenges also, like higher spatial variability of spectral signatures, the Hughes effect due to higher dimensionality, and a limited number of labeled training samples compared to the dimensions of the
doi:10.1109/jstars.2021.3076005
fatcat:smfb6jeox5eldbv6ys7ioeoko4