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Sigmoid derivative mapping of full tensor potential field gravity data for edge enhancement | ||
| Journal of Algorithms and Computation | ||
| مقاله 10، دوره 57، شماره 1، آبان 2025، صفحه 146-156 اصل مقاله (1.5 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jac.2025.398419.1236 | ||
| نویسنده | ||
| Maysam Abedi* | ||
| Petroleum Engineering and Geophysics Laboratory, School of Mining Engineering, College of Engineering University of Tehran, Iran | ||
| چکیده | ||
| Airborne gravity gradient surveys yield comprehensive measurements of the Earth's gravity tensor, offering critical insights for geological structural analysis. These data facilitate the delineation of subsurface sources and the spatial extent of structures responsible for gravity anomalies through the integrated interpretation of each tensor component. Given the inherent gradient nature of the acquired data, their combined analysis serves as a robust tool for enhancing structural boundary detection. However, airborne gravity gradient measurements are often significantly contaminated by noise, necessitating the direct utilization of tensor components without further re-derivative to ensure reliable identification of buried targets. In this study, we employ a novel sigmoid derivative function applied to the normalized components of the directional analytical signal of the gradient tensor to improve the resolution of buried target boundaries. | ||
| کلیدواژه‌ها | ||
| Full tensor؛ Gravity data؛ Edge enhancement؛ Sigmoid function؛ Simulation | ||
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آمار تعداد مشاهده مقاله: 85 تعداد دریافت فایل اصل مقاله: 72 |
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