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In oil and mineral exploration��airborne gravity gradient data contain higher- frequency signals than gravity data��which can be used to delineate small- scale anomalies�� In order to get true underground gravity gradi- ent data��it is necessary to eliminate effectively the influence of self- gradient values from the full- tensor gradiometry data�� Due to this��the authors proposed a linear correction method��considering the variation of the space coordi- nates system��gave rotation matrix and tensor transformation to realize the unification of the coordinate systems��and analyzed the influence to self- gradient values of attitude angles in model test�� The actual data calculation proves that this method can reduce the attitude error in several Eotvos and can improve the data accuracy effectively��