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| Keywords | |
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singular value |
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SVD |
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de-noising |
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gravity data |
| Authors | |
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XING Cong-Cong |
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WU Yan-Gang |
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ZHAO Xin |
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ZHAO Guo-Xing |
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LI Zhao-Hui |
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SUN Bang-Min |
| PubMed | |
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Article by Geng, C. C. |
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Article by Wu, Y. G. |
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Article by Zhao, X. |
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Article by Zhao, G. X. |
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Article by Li, Z. H. |
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Article by Sun, B. M. |
Application of singular value decomposition (SVD) de-noising in potential field data
XING Cong-Cong, WU Yan-Gang, ZHAO Xin, ZHAO Guo-Xing, LI Zhao-Hui, SUN Bang-Min
College of Geo-exploration Science and Technology��Jilin University��Changchun 130026��China
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��