基于S PO T5的盘县煤矿区矿山地物自动分类研究
기우S PO T5적반현매광구광산지물자동분류연구
Study of Surface Factures Automatic Classification of Coal Mining Area in Panxian Based on SPOT5
  • 万方数据
    贵州地质 귀주지질
    GUIZHOU GEOLOGY
    2014年 2期 128-131 ,共4页

    龚梅%吴寿江%杨凯迪

    공매%오수강%양개적

    SPOT5%矿山地物类型%最大似然分类%精度评价 SPOT5%礦山地物類型%最大似然分類%精度評價
    SPOT5%광산지물류형%최대사연분류%정도평개
    SPOT5%Surfacefeaturetypeofmine%Maximumlikelihoodmethod%Accuracyassessment
    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。
    본차연구채용SP0T5수거원，기우최대사연법진행반현매광구광산지물류형자동분류연구，병이용오차구진통계방법대분류결과진행정도평개，발현매퇴급채장분류효과교호，총분류정도교고。
    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.
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