Radiometric normalization of multitemporal hyperspectral satellite images
IGARSS（2014）
Abstract
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.
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Key words
terrain mapping,multitemporal hyperspectral satellite imagery,radiometry,chris image,mad-based normalization,ir normalization,radiometric normalization,land cover,spectral-dimensional information,regression analysis,multivariate alteration detection transformation,geophysical image processing,orthogonal regression analysis,orthogonal regression,hyperspectral imaging,mad,land cover changes,satellites
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