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According to the principle of singular value decomposition��the authors analyze its feasibility in po- tential field de-noising��and put forward a judgment method of effective order k�� Compared the results between sin- gular value decomposition de-noising and wavelet de-noising of gravity anomalies of polygon plate model��it is proved the validity and advantage of the singular value decomposition de-noising�� It is applied in the measurement of gravity data processing��and the good results have been achieved�� The theoretical model and the measured data processing results show that the de-noising method based on singular value decomposition can effectively remove the random noise��improve the accuracy of data processing and interpretation��