Gravity data fusion using wavelet transform and window weighting: a case study in the Ross Sea of Antarctica

• Autorzy: Ma Long , Song Haibin , Bai Yongliang , Yan Quanshu

Identyfikatory

DOI

10.1007/s11600-024-01366-8

• Języki publikacji: EN

Abstrakty

EN

Satellite gravity anomaly data are characterized with wide coverage and high overall normalized quality, and these data can be used in large-scale regional structural research. However, detailed information on local areas is often missing after smoothing. High-resolution ship-borne gravity anomaly data can better identify fault zones and block boundaries at key locations, compensating for low-resolution satellite gravity data. In this study, comprehensive gravity data derived from multiple techniques are used based on wavelet transforms, the fusion rules for high- and low-frequency wavelet coefficients are established, and the complementary use and effective fusion of gravity data derived from multiple techniques are realized. By collecting a large amount of ship-borne data in the Ross Sea of Antarctica, 1434 valid survey lines with a total length of 98,204 km are obtained in the study area. After adjustment, the root mean square of the crossover errors is ± 1.92 X 10-5 m/ s2. Here, different wavelet functions and decomposition levels are used, the concept of window weighting is introduced, and the useful information of the two data types is further fused. Thus, higher-resolution data are obtained with less errors. When fusing all line data, the minimum RMS difference between the optimal fusion result and the ship measurement data is 1.64 X 10-5 m/s2, which increases the accuracy by 1.66 X 10-5 m/s2. When we adopt 80% data fusion and the remaining 20% data validation, although a considerable portion of the remaining side lines are still distributed in areas that the original side lines cannot cover, using this method can still effectively improve the accuracy of the fused data. This method can be applied to most gravity data.

Słowa kluczowe

EN

gravity data fusion; wavelet transform; wavelet decomposition; window weighting

PL

fuzja danych grawitacyjnych; przekształcenie falkowe; rozkład falkowy

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2025
• Tom: Vol. 73, no. 1
• Strony: 187--201
• Opis fizyczny: Bibliogr. 28 poz.

Twórcy

autor

Ma Long

• School of Ocean and Earth Science, Tongji University, Shanghai 200092, China
• First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China

• https://orcid.org/0000-0001-8031-9983

autor

Song Haibin

• School of Ocean and Earth Science, Tongji University, Shanghai 200092, China

autor

Bai Yongliang

• School of Geosciences, China University of Petroleum, Qingdao 266555, China

autor

Yan Quanshu

• First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).