CAJ | 학술논문

以西澳伊尔岗钙结岩分布区为例，在分析区域铀矿预测要素的基础上，利用多参数组合和监督分类2种方法对航空γ能谱测量数据进行处理和分析，开展钙结岩型铀矿的成矿预测研究。根据航空γ能谱数据铀、钍、钾元素之间的地球化学特征差异，利用 ERDAS软件空间建模工具计算古铀量、铀富集系数，识别铀源区和铀后生富集区。利用特征空间域的贝叶斯决策准则监督分类技术，提取研究区多级航放示矿信息，经过综合分析，最终圈定7片钙结岩型铀成矿远景区。
이서오이이강개결암분포구위례，재분석구역유광예측요소적기출상，이용다삼수조합화감독분류2충방법대항공γ능보측량수거진행처리화분석，개전개결암형유광적성광예측연구。근거항공γ능보수거유、토、갑원소지간적지구화학특정차이，이용 ERDAS연건공간건모공구계산고유량、유부집계수，식별유원구화유후생부집구。이용특정공간역적패협사결책준칙감독분류기술，제취연구구다급항방시광신식，경과종합분석，최종권정7편개결암형유성광원경구。
The calcrete distribution in Yilgarn area of western Australia was studied by analyzing the re-gional uranium ore prediction factors,multi parameter combination and supervised classification was used to process and analyze the airborne spectroscopy data and to predict the calcrete hosted uranium metallization.According to the geochemical characteristics differences between airborne uranium, thorium and potassium spectrum data,space modeling tool in ERDAS software was used to calculate the ancient uranium enrichment factors and identify the area of uranium enrichment source.Bayesian decision criterion and supervised classification technology of feature space domain were used to extract multi level aero radiometric anomaly in the study area,and comprehensive analysis methods was used to select calcrete hosted uranium mineralization prospects.