Soil line transformation based relative radiometric normalization

Relative radiometric normalization is a prerequisite for multi-temporal remotely sensed data analysis. Dark object subtraction (DOS) and pseudo-invariant feature (PIF) methods are two commonly employed scene-based methods for relative radiometric normalization. Both these methods have known limitations. The authors describe a soil line transformation method for multi-date relative radiometric normalization, which circumvents the limitations of the DOS and PIF methods.