کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
507417 865122 2012 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Orientation domains: A mobile grid clustering algorithm with spherical corrections
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Orientation domains: A mobile grid clustering algorithm with spherical corrections
چکیده انگلیسی

An algorithm has been designed and tested which was devised as a tool assisting the analysis of geological structures solely from orientation data. More specifically, the algorithm was intended for the analysis of geological structures that can be approached as planar and piecewise features, like many folded strata. Input orientation data is expressed as pairs of angles (azimuth and dip). The algorithm starts by considering the data in Cartesian coordinates. This is followed by a search for an initial clustering solution, which is achieved by comparing the results output from the systematic shift of a regular rigid grid over the data. This initial solution is optimal (achieves minimum square error) once the grid size and the shift increment are fixed. Finally, the algorithm corrects for the variable spread that is generally expected from the data type using a reshaped non-rigid grid. The algorithm is size-oriented, which implies the application of conditions over cluster size through all the process in contrast to density-oriented algorithms, also widely used when dealing with spatial data. Results are derived in few seconds and, when tested over synthetic examples, they were found to be consistent and reliable. This makes the algorithm a valuable alternative to the time-consuming traditional approaches available to geologists.


► Structural data (azimuth/dip) classification into Orientation Domains.
► Development of a grid-based proximity-oriented algorithm with square-error criterion.
► Automatic cluster partition.
► Corrections designed to improve clustering results and maintain geologic criterion.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Geosciences - Volume 49, December 2012, Pages 140–150
نویسندگان
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