Evaluation of hyper spectral imagery capabilities in seabed mapping

Due to their environmental and economic importance, water resources have always been considered by various researchers to study. One of the major problems in water resources studies is the deeper areas, which are not easily accessible. Underwater hyperspectral imaging(UHI) technologies have received a great deal of attention from various organizations and universities due to their ability to take images from deepwater resources. In this study, UHI hyperspectral images related to the depth of 3000 meters of the Pacific Ocean were used to prepare the seabed map. After applying the necessary pre-processing, the spectral resampling operation was performed. The spectra of 5 minerals and one artificial object were entered into the SAM algorithm for classification. The results of this study were presented as a map of the ocean floor, which shows the high ability of hyperspectral data to identify details related to the bed of water resources.