基于S PO T5的盘县煤矿区矿山地物自动分类研究

摘要

本次研究采用SP0T5数据源，基于最大似然法进行盘县煤矿区矿山地物类型自动分类研究，并利用误差矩阵统计方法对分类结果进行精度评价，发现煤堆及采场分类效果较好，总分类精度较高。%BySPOT5datasource,thesurfacefeaturetypeautomaticclassificationisstudiedbasedon maximum likelihood method,the classified results are assessed by error matrix method,it’s found the classifi-cation of coal pillar and stope is fine,the accuracy of total classification is high.