Application of Bi-dimensional empirical mode decomposition (BEMD) modeling for extracting gravity anomaly indicating the ore-controlling geological architectures and granites in the Gejiu tin-copper polymetallic ore field, southwestern China

Chen, Y.Q.; Zhang, L.N.; Zhao, Baojun

doi:10.1016/j.oregeorev.2016.06.031

Cited by 30 publications

(7 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The BEMD is a data-driven method, and it requires no pre-determined filter or wavelet functions [65]. The BEMD has also been applied to texture extraction and image filtering [66], finding the gold mineral deposition [67] and tin-copper polymetallic ore fields [68] from gravity anomalies captured by satellite images, image denoising [69,70], content-based image retrieval [71], and fusion of multispectral and remote sensing [72,73].…”

Section: Brief Review Of the Empirical Mode Decomposition (Emd) Methodsmentioning

confidence: 99%

Multiscale empirical mode decomposition of density fluctuation images very near above and below the critical point of SF6

Oprisan

Garrabos

Lecoutre-Chabot

et al. 2021

Physica A: Statistical Mechanics and its Applications

View full text Add to dashboard Cite

Section: Brief Review Of the Empirical Mode Decomposition (Emd) Methodsmentioning

confidence: 99%

Multiscale empirical mode decomposition of density fluctuation images very near above and below the critical point of SF6

Oprisan

Garrabos

Lecoutre-Chabot

et al. 2021

Physica A: Statistical Mechanics and its Applications

View full text Add to dashboard Cite

“…The density and magnetic susceptibility of geological architectures at different depths are the most important information acquired from gravity-magnetic fields. Low gravitymagnetic anomaly values indicate low average density and magnetic susceptibility compared to surrounding materials and vice versa (Chen et al, 2017a). Meanwhile, different geological objects can produce similar gravity-magnetic fields because of different spatial locations and heterogeneity of geological objects, resulting in complexities and difficulties in anomaly delineation.…”

Section: Methodology Bemd Methodsmentioning

confidence: 99%

“…Thus, new signal decomposition methods are needed to recognize anomalies associated with mineral deposits in massive geoscience data. The BEMD method was developed for processing geophysical and geochemical data and for extracting anomalies (Chen et al, 2017a).…”

Section: Methodology Bemd Methodsmentioning

confidence: 99%

“…The key to searching for deep resources using geophysical data is the use of innovative extraction techniques to identify the geometrical morphology of deeply hidden intrusions and their associations with concealed orebodies (Chen et al, 2017a). Huang et al (1998) developed the self-adaptive bidimensional empirical mode decomposition (BEMD) method to analyze nonlinear and nonstationary data.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Extraction of Gravity–Magnetic Anomalies Associated with Pb–Zn–Fe Polymetallic Mineralization in Luziyuan Ore Field, Yunnan Province, Southwestern China

Shang

Chen

et al. 2021

Nat Resour Res

Self Cite

View full text Add to dashboard Cite

The method of bi-dimensional empirical mode decomposition (BEMD) and the combined methods of entropy weight-Technique for Order of Preference by Similarity to an Ideal Solution (TOPSIS) were used to decompose gravity-magnetic data and evaluate targets in the Luziyuan Pb-Zn-Fe polymetallic ore field and surrounding areas. Three meaningful bidimensional intrinsic mode function (BIMF) images were obtained by BEMD at different wavelengths, depicting different layers of geological architectures in the study area. The results are as follows. (1) The BIMF2 images depict the shallow local geological architecture and show positive gravity-magnetic anomalies of the skarn alteration and Pb-Zn-Fe mineralization distributed around concealed granites. (2) The BIMF3 images depict the medium-depth geological architecture, indicating that concealed granitic stocks, which are shallow extensions of a deeply concealed pluton, intruded along the NE-trending fault. (3) The BIMF4 images depict gravity-magnetic anomalies at greater depth, which likely reflect regional geological architectures, indicating the potential presence of a large, concealed intermediate-acid pluton in the negative anomaly zone. Three potential targets (A, B, and C) were delineated based on BEMD results of the original gravity-magnetic data. The entropy weight-TOPSIS evaluation results show that the ranking of the metallogenic potential of the delineated targets in the study area is B, A, and C, with relative proximity values of 0.4576, 0.3925, and 0.1499, respectively. The results of this study can be used to guide future exploration.

show abstract

“…For two-dimensional data sets (images), we used a BEMD algorithm [65] that requires no pre-determined filter or wavelet function [68]. The BEMD has been applied to texture extraction and image filtering [45], finding the gold mineral deposition [40], the discovery of tin-copper polymetallic ore field [16] by gravity anomalies captured by satellite images, image denoising [4,50], contentbased image retrieval [1], and fusion of multispectral and remote sensing [27,34,37]. We recently expanded the application of the BEMD method and combined it with the Dynamic Differential Microscopy (DDM) to the analyses of critical fluctuations [60].…”

Section: Bidimensional Empiric Mode Decomposition (Bemd)mentioning

confidence: 99%

Density fluctuation analysis very near above and below critical point using morphological and spatiotemporal information

Oprisan

Garrabos

et al. 2021

Eur. Phys. J. Plus

View full text Add to dashboard Cite

We investigate the fractal nature of critical fluctuations in sulfur hexafluoride (SF 6 ) under microgravity conditions. For this purpose, we use the Bidimensional Empiric Mode Decomposition (BEMD) approach to separate the spatial scales of fluctuations in orthogonal Independent Mode Functions (IMFs). Statistical analysis of three morphology measures (area, eccentricity, and orientation of convex objects in recorded images) across different IMFs shows that critical fluctuations obey power-laws across multiple spatial scales.We also perform a spatiotemporal analysis of fluctuations by extracting one line of pixels from each image and creating a temporal stack from successive images, or "waterfalls."The spatiotemporal section analysis along the spatial direction reveals multiple spatial scales present in the original fluctuating image. The analysis of the "waterfalls" along the temporal direction identifies a common power-law temporal behavior across all spatial scales. Our results show that critical fluctuations very near critical temperature (T c ) have a fractal structure captured by power-laws with multiple critical exponents. The morphology analysis shows that very near T c , the fluctuating domains are mostly spherical with some anisotropy.

show abstract

Application of Bi-dimensional empirical mode decomposition (BEMD) modeling for extracting gravity anomaly indicating the ore-controlling geological architectures and granites in the Gejiu tin-copper polymetallic ore field, southwestern China

Cited by 30 publications

References 31 publications

Multiscale empirical mode decomposition of density fluctuation images very near above and below the critical point of SF6

Multiscale empirical mode decomposition of density fluctuation images very near above and below the critical point of SF6

Extraction of Gravity–Magnetic Anomalies Associated with Pb–Zn–Fe Polymetallic Mineralization in Luziyuan Ore Field, Yunnan Province, Southwestern China

Density fluctuation analysis very near above and below critical point using morphological and spatiotemporal information

Contact Info

Product

Resources

About