| 龚梅,吴寿江,杨凯迪.基于SPOT5的盘县煤矿区矿山地物自动分类研究[J].贵州地质,2014,31(2):128-131 |
| 基于SPOT5的盘县煤矿区矿山地物自动分类研究 |
| Study of Surface Factures Automatic Classification of Coal Mining Area in Panxian Based on SPOT5 |
| 投稿时间：2014-04-05 |
| DOI： |
| 中文关键词: SPOT5 矿山地物类型 最大似然分类 精度评价 |
| 英文关键词:SPOT5 Surface feature type of mine Maximum likelihood method Accuracy assessment |
| 基金项目:“贵州中西部与重庆秀山重点成矿带与矿集区矿山开发遥感调查与监测”项目资助。 |
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| 中文摘要: |
| 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。 |
| 英文摘要: |
| By SPOT5 data source, the surface feature type automatic classification is studied based on maximum likelihood method, the classified results are assessed by error matrix method, it’s found the classification of coal pillar and stope is fine, the accuracy of total classification is high. |
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