Method for evaluating hyperspectral uranium metallogenic elements through mean value analysis

The invention belongs to the field of uranium ore prediction, and particularly relates to a method for evaluating hyperspectral uranium metallogenic elements by mean analysis, which comprises the following steps of: 1, reading a hyperspectral calcite mineral intensity grid file, and recording the file as Gao.tif; 2, generating rule points according to a fixed distance, and calculating hyperspectral mineral characteristic values corresponding to the rule points; step 3, reading in uranium ore deposit and uranium ore point files, and respectively calculating hyperspectral mineral characteristic values corresponding to the uranium ore deposit and the uranium ore point; 4, calculating an average value of the hyperspectral mineral characteristic values of the rule points; 5, respectively calculating average values of the characteristic values of the hyperspectral calcite minerals corresponding to the uranium ore deposit and the uranium ore point; and step 6, quantitatively analyzing the relationship between the ch