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Survey on properties and accuracy assessment of climate changes using hyperspectral imaging

This system aims to detect the natural disaster due to climate changes at the earliest and to alert the people to avoid the serve damages. The proposed empirical model analysis the characteristics of the hyper spectral imaging to produce the accuracy. The assessment of the climate change is done by comparing the properties of the hyper spectral imaging to the database. The advanced method for hyper spectral change detection has been used in this paper. The methods are multivariate alteration detection (MAD), iteratively reweighted MAD (MAD-IR), covariance equalisation (CE), cross correlation (CC).