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《Progress in Geophysics》 2008-04
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Research on enhancing weak signal technology and recognition of linear structures using aerial-magnetic data in the Qaidam Basin

XIA Ling-yan1,2,WU Han-ning2,BAI Guan-jun3,HOU Bao-ning2(1.China Aero Geophysical Survey & Remote Sensing center for Land and Resources,Beijing 100083,China;2.Department of Geology Northwest University,Xi an 710069,China;3.CNOOC RC,Beijing 100027,China)  
Aim A new method of recognition of linear structures using usual aerial-magnetic data is introduced,and the actualization of this technology is also accounted for in this paper.The enchancing less stronger signal technology and methods of Tilt derivative and the total horizontal derivative are adopted to extract faint information,and digital image display technique is used to show the results.First,the aerial-magnetic data is computed using nonlinear filter technology to enchance the weak signal.Second,the Tilt derivative and the total horizontal derivative of each point in the region are calculated,according to the algorithm in this paper.Finally,the linear structures are recognized according to these images.The structures are then defined comprehensively combining the regional geology.A comparison and analysis between the digital image of aerial-magnetic anomalies from the Qaidam Basin and regional geological structures replenish new evidence for deep research of this region's structure.The recognized linear structures in the Qaidam Basin are consistent with the existing geology data.The magnetic data can be shown in an image by this method,describing more clearly than the routine methods,particularly advantaged to analyze linear structures,and the faint information can be explained from the unusual data of the region at the same time.Through the enchaneing weak signal technology and methods of Tilt derivative and the total horizontal derivative combined with the digital image technology,a good explanation effect is achieved,which can be used in the tectonic interpretation of magnetic and gravity anomalies.
【Fund】: 多种能源矿产共存成藏(矿)机理与富集分布规律(973计划 2003CB214600);; 国家自然科学基金项目(40374020)联合资助
【CateGory Index】: P318
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