کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6447139 1641133 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Improved curvature gravity gradient tensor with principal component analysis and its application in edge detection of gravity data
ترجمه فارسی عنوان
تانسور گرادیان گرانوی انحنای بهبود یافته با تجزیه و تحلیل مولفه اصلی و کاربرد آن در شناسایی لبه داده های جاذبه
کلمات کلیدی
داده های جاذبه، تشخیص لبه، تنش گرادیان گرانش انحنای، تجزیه و تحلیل مولفه اصلی، داده های پر سر و صدا،
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فیزیک زمین (ژئو فیزیک)
چکیده انگلیسی
Edge detection is one of the common processes in the interpretation of gravity data, and it gives a view of the earth which highlights boundaries of geological bodies. Many mathematical techniques have been proposed for edge detection including the curvature gravity gradient tensor method (CGGT). Eigenvalues of the curvature gravity gradient tensor can well delineate the edges of some geological bodies. However, it cannot be applied to complex gravity data with both positive and negative anomalies. Moreover, the CGGT method is also very sensitive to noise. In view of limitations of the method, we proposed an improved CGGT method by incorporating the principal component analysis (PCA) into the CGGT formula. The improved method can be utilized to outline the edges of causative bodies in more general cases and is insensitive to noise. The method was tested on synthetic gravity data and actual gravity data recorded from a metallic mineral deposit area in the middle-lower reaches of the Yangtze River in China. All of the results have shown effectiveness of the proposed method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Applied Geophysics - Volume 118, July 2015, Pages 106-114
نویسندگان
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