The use of a vegetation index in the study of vegetation changes requires that the influences of the signal gain, of atmospheric conditions and of soil be removed. This paper presents a theoretical basis for technique that theoretically removes all these influences from raw data without the use of external inputs. It produces a normalized perpendicular vegetation index that is suitable for vegetation change studies based on non-corrected radiometric data.