Hyperspectral Classification Through Unmixing Abundance Maps Addressing Spectral Variability
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DOI: 10.1109/tgrs.2019.2892903
Abstract: Climate change and anthropogenic pressure are causing an indisputable decline in biodiversity; therefore, the need of environmental knowledge is important to develop the appropriate management plans. In this context, remote sensing and, specifically, hyperspectral imagery… read more here.
Keywords: classification unmixing; spectral variability; variability; hyperspectral classification ... See more keywords