Radiometric normalization of multitemporal hyperspectral satellite images

The essay applied Multivariate alteration detection (MAD) transformation and orthogonal regression analysis for radiometric normalization of multitemporal hyperspectral satellite imagery. The evaluation results of RMSE show that the MAD-based normalization in all eighteen bands of CHRIS image is feasible and effective. And the evaluation results of DI show that the MAD-based normalization performs better in keeping the spectral-dimensional information of hyperspectral images than IR normalization.