Fourth-order spectral moment analysis for extracting the information of crustal arc structures
FU Lihua1, ZENG Cheng2, YANG Wencai3, LI Yanmei4
1. School of Mathematics and Physics, China University of Geosciences, Wuhan, Hubei 430074, China; 2. School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China; 3. School of Earth Sciences, Zhejiang University, Hang-zhou, Zhejiang 310027, China; 4. School of Mathematics, Harbin Institute of Techno-logy, Harbin, Heilongjiang 150001, China
Abstract:The geometric feature analysis of potential field based on spectral moment is a new and automatic edge detection method. It can identify more even and convergent geometric features of geological bodies than conventional methods. Second-order spectral moment can describe linear scratches,but it cannot well recognize other kinds of scratches. Fourth-order spectral moment can recognize arc and other scratches,so we propose an arc coefficient. Theoretical experiments show that the coefficient can reflect the geometric features of circular arc or intersecting linear scratches,and has low sensitivity to depth,so it can extract weak signals of curvature arc scratches in the potential field. Applied in the Tarim Basin,this method has successfully recognized isometric structures like paleo-volcanic group and other geological bodies based on magnetic anomalies,indicating that fourth-order spectral moment can extract necessary information and effectively recognize special crustal structures.
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FU Lihua, ZENG Cheng, YANG Wencai, LI Yanmei. Fourth-order spectral moment analysis for extracting the information of crustal arc structures. Oil Geophysical Prospecting, 2020, 55(4): 923-930.
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