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基金项目:中国地质调查局项目“深部矿产三维可视化预测评价软件系统研发”(2017YFC0601501)、“一体化系统模块的开发与完善”(IGGEW2018035)
作者单位
常婵,郭艳涛,花卫华,等 中国地质大学(武汉)信息工程学院 
摘要:
      地球化学元素异常的空间分布受限于地质背景、矿产空间分布和景观特征等因素,单元素异常图的绘制不应仅依据采样数据由计算机追踪等值线图的方法自动勾绘。传统的手工圈定方法效率低、受人为因素影响大。基于SVM(Support Vector Machine,支持向量机)提出了一种可以考虑地质约束的单元素异常圈定方法,并加入地质单元分区、地质构造等约束条件。该方法可以高效绘制出单元素异常图,并成功应用于2个实例中。
关键词:单元素异常图  地球化学  支持向量机  地质约束
Abstract:
      The spatial distribution of geochemical element anomalies is limited by geological background, mineral spatial distribution, landscape characteristics and so on. The drawing of single element anomaly maps should not be solely based on sampling data which is computed into contour maps. The traditional manual delineation method is inefficient and subject to human disturbance. Based on Support Vector Machine (SVM), this paper proposes a single element anomaly delineation method that considers geological constraints. The method can add constraints such as geological unit zoning and geological structure in drawing anomaly maps. It is quite efficient and has succeeded in two practical single element anomaly mapping cases.
Keywords:single element anomaly map  geochemistry  Support Vector Machine  geological constraint
常婵,郭艳涛,花卫华,等.基于SVM的含约束地球化学单元素异常圈定方法及应用[J].地质学刊,2018,42(3):452-458