Applications of Metaheuristics in Hyperspectral Imaging: A Review

Abstract

As compared to general RGB images which contain only three bands from visible range of electromagnetic spectra, hyperspectral images contain several spectral bands covering a larger area of electromagnetic spectra including the infrared and UV. Hence, the hyperspectral data is normally huge and high dimensional. Hyperspectral imaging is an emerging area of research having applications in diverse domains, and through this paper, the authors try to bring forward some recent developments in the area of hyperspectral imaging while using metaheuristics. The authors have tried to identify the various domains where the metaheuristics-embedded hyperspectral imaging has been successfully implemented.