Optimisation of Underwater Hyper Spectral Data for Colour Correction of Pseudo Hyper Spectral Images

摘要

The inherent properties of water column usually affect underwater imagery by suppressing high-energy wavelengths. One of the inherent properties, diffuse attenuation, can be estimated from multi or hyper spectral data and thus give information on at which rate light of different wavelengths decreases with increasing depth. Based on exact depth measurements and data from a spectrometer incoming light on an object can be calculated and diffuse attenuation coefficient can be estimated. In this work the authors introduce a mathematical model that suggests the most stable wavelengths, which corresponds to estimated coefficients, based on spectral information from each depth. These values are then used in reconstruction of colours in underwater pseudo hyper spectral imagery. Since there are no digital hyper spectral cameras yet we are for the time being confined to point data for estimation of optimal attenuation coefficients, but the method is general and we show how it can be applied to pseudo hyper spectral images.