کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6447200 1641136 2015 37 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Inverse spatial principal component analysis for geophysical survey data interpolation
ترجمه فارسی عنوان
تجزیه و تحلیل جزء اصلی فضایی معکوس برای تطبیق داده های ژئوفیزیکی داده ها
کلمات کلیدی
تجزیه و تحلیل جزء اصلی فضایی معکوس، تعامل، روشهای فیلتر کردن، تجزیه و تحلیل طیفی منحصر به فرد، ژئوفیزیک هوابرد،
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فیزیک زمین (ژئو فیزیک)
چکیده انگلیسی
The starting point for data processing, visualization, and overlay with other data sources in geological applications often involves building a regular grid by interpolation of geophysical measurements. Typically, the sampling interval along survey lines is much higher than the spacing between survey lines because the geophysical recording system is able to operate with a high sampling rate, while the costs and slower speeds associated with operational platforms limit line spacing. However, currently available interpolating methods often smooth data observed with higher sampling rate along a survey line to accommodate the lower spacing across lines, and much of the higher resolution information is not captured in the interpolation process. In this approach, a method termed as the inverse spatial principal component analysis (isPCA) is developed to address this problem. In the isPCA method, a whole profile observation as well as its line position is handled as an entity and a survey collection of line entities is analyzed for interpolation. To test its performance, the developed isPCA method is used to process a simulated airborne magnetic survey from an existing magnetic grid offshore the Atlantic coast of Canada. The interpolation results using the isPCA method and other methods are compared with the original survey grid. It is demonstrated that the isPCA method outperforms the Inverse Distance Weighting (IDW), Kriging (Geostatistical), and MINimum Curvature (MINC) interpolation methods in retaining detailed anomaly structures and restoring original values. In a second test, a high resolution magnetic survey offshore Cape Breton, Nova Scotia, Canada, was processed and the results are compared with other geological information. This example demonstrates the effective performance of the isPCA method in basin structure identification.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Applied Geophysics - Volume 115, April 2015, Pages 79-91
نویسندگان
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