Ore body three-dimensional automatic modeling method based on K neighbors and Poisson curved surfaces
An automatic modeling and K-nearest neighbor technology, which is applied in the field of geological information, can solve the problems of large randomness in manual boundary delineation, difficulty in coping with changes in complex working conditions, and high labor intensity of operators, so as to save manpower and time, and model The effect of high geometric quality and strong social and commercial value
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[0033] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.
[0034] A 3D geological modeling method based on K nearest neighbor (KNN) and Poisson algorithm, such as figure 1 shown, including:
[0035] Step 1. Extract the required drilling space data and attribute data according to the determined exploration line;
[0036] Step 2, preprocessing the data obtained in step 1, converting each feature of the sample into a standard normal distribution, normalizing the data, and obtaining a data point set;
[0037] Step 3, according to the data obtained in step 2, determine the modeling space according to the area extraction range where the ore body occurs;
[0038] Step 4, input the data point set obtained in step 2 and the modeling space delineated in step 3, and construct a k-d tree...
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