The removal of additional edges in the edge detection of potential field data

Ma, Guoqing; Cai, Liu; Huang, Danian

doi:10.1016/j.jappgeo.2015.01.007

Cited by 15 publications

(3 citation statements)

References 12 publications

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“…Sertcelik and Kafadar (2012) introduced the two-dimensional structure tensor with Gaussian function convolution for the potential field edge detecting, but the method failed to outline the deep and shallow anomalies simultaneously. Then Ma and Huang (2015) presented a new method normalizing the defined edge detector, which used the ratio of the vertical derivative and total horizontal derivatives of the 2D structure tensor eigenvalue. pointed the Gaussian envelop will smooth the potential field data, and redefined the structure tensor eigenvalue without the Gaussian envelop to make the detected edges more clearly.…”

Section: Introductionmentioning

confidence: 99%

Total horizontal derivatives of potential field three-dimensional structure tensor and their application to detect source edges

Zhou

Huang

2016

Acta Geod Geophys

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Edge detection of the geological structures horizontal position is the vital task of the potential field interpretation, and some traditional edge detectors have poor ability in delineating edges clearly and accurately. Some people made efforts to purpose new methods which can balance the weak and strong anomalies simultaneously. In this paper, we purposed new edge detection methods based on directional total horizontal derivatives of three-dimensional structure tensor for the causative sources. In order to balance weak and strong amplitude anomalies simultaneously, we used the vertical derivatives of potential field to normalize the new defined filters. For the complex geological situation with positive and negative gravity or magnetic anomalies, we introduced a new strategy to reduce the false edges. The presented filters were tested on synthetic and real potential field data to verify its feasibility. All of the results have shown the new edge detection methods can not only display the sources edges precisely and clearly, but also bring out more geological subtle details.

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Section: Introductionmentioning

confidence: 99%

Total horizontal derivatives of potential field three-dimensional structure tensor and their application to detect source edges

Zhou

Huang

2016

Acta Geod Geophys

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“…While so many edge detectors are available, no single method can provide all of the needs for the image analysis, and specific flaws are noted in each of the algorithms. Wellknown cases are as follows: the curvature gravity gradient tensor technique [23] has trouble with both positive and negative anomalies [33] and has the problem of simultaneously displaying large and small amplitude edges [34]; the vertical derivative, total horizontal derivative, and the combination of the two methods are difficult to clearly display the edges of deeper anomalies [35]. Other detectors, such as the analytic signal and local wavenumber techniques, are sensitive to gridding and noise [36].…”

Section: Introductionmentioning

confidence: 99%

Improving GPR Imaging of the Buried Water Utility Infrastructure by Integrating the Multidimensional Nonlinear Data Decomposition Technique into the Edge Detection

Chen

Jeng

2021

Water

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Although ground-penetrating radar (GPR) is effective to detect shallow-buried objects, it still needs more effort for the application to investigate a buried water utility infrastructure. Edge detection is a well-known image processing technique that may improve the resolution of GPR images. In this study, we briefly review the theory of edge detection and discuss several popular edge detectors as examples, and then apply an enhanced edge detecting method to GPR data processing. This method integrates the multidimensional ensemble empirical mode decomposition (MDEEMD) algorithm into standard edge detecting filters. MDEEMD is implemented mainly for data reconstruction to increase the signal-to-noise ratio before edge detecting. A quantitative marginal spectrum analysis is employed to support the data reconstruction and facilitate the final data interpretation. The results of the numerical model study followed by a field example suggest that the MDEEMD edge detector is a competent method for processing and interpreting GPR data of a buried hot spring well, which cannot be efficiently handled by conventional techniques. Moreover, the proposed method should be readily considered a vital tool for processing other kinds of buried water utility infrastructures.

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“…Cooper and Cowan (2006) proposed an improvement on the tilt angle TDX method to identify the anomaly boundaries, whilst Cooper (2009) proposed the adoption of the Hilbert transform method for geologic boundary delineation, a method that analyzes signals and could clearly show the magnetic source boundaries. Ma et al (2012Ma et al ( , 2013Ma et al ( , 2015 put forward the enhanced equalization and local phase filters for edge detection by integrating the different order horizontal derivatives. Li (2014) used the normalized total horizontal derivative method to obtain the horizontal location and depth of the anomalies.…”

Section: Introductionmentioning

confidence: 99%

Application of an Enhanced Theta‐based Filter for Potential Field Edge Detection: A Case Study of the Luzong Ore District

Chen

Zhou

Liu

et al. 2017

Chinese J of Geophysics

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Edge detection plays an important role in interpreting potential field data, and is widely used to delineate geologic boundaries and structures. Geologic boundaries can be determined by tracing the enhanced analytical signal, and many filters are developed to detect and enhance the edges. Horizontal and vertical derivatives are commonly used to enhance edge features, but they can only outline the edges of large-amplitude anomalies. In order to display large and small amplitude anomalies simultaneously, some balanced filters have been proposed. We define new filters based on the Theta map method, using 2 nd order horizontal and vertical directional derivatives, and display large and small amplitude edges simultaneously. These methods were tested on synthetic gravity data, and compared with other traditional filters; the results show that the new filters can achieve better results and reveal more details. The method has been applied to gravity-magnetic data acquired in the Luzong ore district in the Middle-Lower Yangtze River Valley Metallogenic Belt (MLYB, Eastern China). Based on the relations between lithology, density and magnetic susceptibility, the calculated results were analyzed. The edge detection results accurately depict the location of the Tanlu fault zone. A gravity boundary north of the Yangtze River is interpreted to be part of the Yangtze River fault. The identified boundaries from the magnetic data are consistent with the margins of the Luzong basin, and indicate that the bounding faults dip towards the basin. Some ring-like closed boundaries occur in the periphery of the Luzong basin. Recent exploration results confirm that there are buried intrusions beneath the gravity-magnetic anomaly bodies, where Fe-Cu skarn mineralization is present. The results of this study provide significant insights for regional deep-level Fe-Cu exploration.

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The removal of additional edges in the edge detection of potential field data

Cited by 15 publications

References 12 publications

Total horizontal derivatives of potential field three-dimensional structure tensor and their application to detect source edges

Total horizontal derivatives of potential field three-dimensional structure tensor and their application to detect source edges

Improving GPR Imaging of the Buried Water Utility Infrastructure by Integrating the Multidimensional Nonlinear Data Decomposition Technique into the Edge Detection

Application of an Enhanced Theta‐based Filter for Potential Field Edge Detection: A Case Study of the Luzong Ore District

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