A Lithology Classification Method Based on Energy Spectrum Angle

Abstract

The invention provides a lithology classification method based on energy spectrum angle. In this method, the potassium, uranium, and thorium components of the energy spectrum measurement value of each sampling point are normalized respectively, and the normalized energy spectrum data of the sampling point is converted into an energy spectrum vector in the three-dimensional coordinate system ;Calculate the cosine of the included angle (that is, the energy spectrum angle) between the energy spectrum vector of each sampling point and all preset lithological clustering standard energy spectrum vectors in the work area, and select the value of ( ) to be the smallest and less than or equal to the energy spectrum The lithology corresponding to the initial cluster energy spectrum vector of the angle judgment threshold t is used as the inferred lithology of the sampling point; if the minimum value of ( ) is greater than the energy spectrum angle judgment threshold t, the lithology of the sampling point is inferred as a new Lithology category. The invention can quickly carry out stratum lithology classification, effectively weaken the shielding effect of the surface shallow covering layer on the energy spectrum information of the underlying bedrock, and further improve the reliability and accuracy of lithology classification.

Description

technical field [0001] The invention relates to the field of using energy spectrum information to assist regional geological surveys, in particular to a lithology classification method based on energy spectrum angles. Background technique [0002] In shallow coverage areas such as forests and grasslands, due to vegetation and soil coverage, there are few bedrock outcrops, and field work in regional geological surveys is more difficult. Hidden rock masses, strata, structures, minerals (chemicals), and the relationship between surface geological phenomena and deep geological structure changes cannot be directly observed and studied; the amount of information obtained by using turning stones or local scattered outcrops is small, the reliability is low, and it is difficult to improve The quality of the mapping. If the bedrock is exposed through engineering, it will greatly increase the cost of work and prolong the working hours. Large-scale construction is also not conducive to...

AI Technical Summary

Problems solved by technology

This method has a high recognition rate of lithology in bare rock areas, but in shallow coverage areas with thin soil layers on the surface, due to the uneven thickness of the soil layer, the shielding effect on the radioactivity spectrum information of the underlying lithology is also different. Therefore, in this case, using this method for lithology classification will not be effective and will produce more false lithology information

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