A wavelet transformation approach for multi-source gravity fusion: Applications and uncertainty tests-Reference-Cited by-同舟云学术

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A wavelet transformation approach for multi-source gravity fusion: Applications and uncertainty tests

Published:2016-05 Issue: Volume:128 Page:18-30
ISSN:0926-9851
Container-title:Journal of Applied Geophysics
language:en
Short-container-title:Journal of Applied Geophysics

Author:

Bai Yongliang,Dong Dongdong,Wu Shiguo,Liu Zhan,Zhang Guangxu,Xu Kaijun

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Key Research Programme of the Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

Geophysics

Reference34 articles.

1. A view of tectonic structure and gravity anomalies of Hatay Region Southern Turkey using wavelet analysis;Alp;J. Appl. Geophys.,2011

2. Wavelet based image fusion techniques — an introduction, review and comparison;Amolins;ISPRS J. Photogramm. Remote Sens.,2007

3. Mapping crustal thickness using marine gravity data: methods and uncertainties;Bai;Geophysics,2014

4. Full-fit reconstruction of the South China Sea conjugate margins;Bai;Tectonophysics,2015

5. Updated interpretation of magnetic anomalies and seafloor spreading stages in the South China Sea: implications for the tertiary tectonics of Southeast Asia;Briais;J. Geophys. Res.,1993

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1. Gravity data fusion using wavelet transform and window weighting: a case study in the Ross Sea of Antarctica;Acta Geophysica;2024-05-22

2. A Novel Method Based on Proximate Wavelet Coefficient Recovery for Magnetic Resonance Sounding Signal Denoising in Complex Interference Environments;IEEE Transactions on Geoscience and Remote Sensing;2024

3. A Bayesian data fusion algorithm for multi-source Bouguer gravity anomalies and its application in the Sichuan-Yunnan region;CHINESE J GEOPHYS-CH;2021

4. Marine gravity determined from multi-satellite GM/ERM altimeter data over the South China Sea: SCSGA V1.0;Journal of Geodesy;2020-05

5. Fusion of panchromatic image with multi-spectral image using robust adaptive normalized convolution;Journal of Applied Geophysics;2019-10

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