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In this chapter we consider radiometric normalization. This is defined as the conversion of all sensor values to a common scale and is the fourth function required for the formation of a common representational format. In this chapter we consider different methods of normalization including whitening, histogram matching, binarization, fuzzy logic, ranking and isotonic regression. We also include methods for similarity matching including Kullback-Leibler, Earth Movers Distance and Weighted Distribution Matching.

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Radiometric Normalization

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  • 发表日期：

    2026年

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  • Harvey B. Mitchell

摘要

In this chapter we consider radiometric normalization. This is defined as the conversion of all sensor values to a common scale and is the fourth function required for the formation of a common representational format. In this chapter we consider different methods of normalization including whitening, histogram matching, binarization, fuzzy logic, ranking and isotonic regression. We also include methods for similarity matching including Kullback-Leibler, Earth Movers Distance and Weighted Distribution Matching.