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首页> 外文学位 >Use of infrared remote sensing for the detection of potential seepage sites along the Erie Canal (New York).
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Use of infrared remote sensing for the detection of potential seepage sites along the Erie Canal (New York).

机译：使用红外遥感检测伊利运河（纽约）沿线的潜在渗漏点。

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摘要

This thesis explores the viability of using multispectral scanner data to detect and delineate potential seepage sites along the Erie Canal. Thermal and near infrared data were collected with a multispectral scanner in 29 flight lines, over three major sections covering 145 miles of the canal. Automated image classification techniques were used to separate potential seepage sites, indicated by wet areas on the ground, from other types of ground cover. The resulting classified images were registered to New York State Department of Transportation planimetric maps and loaded into a geographic information system database along with canal centerline station locations. Hardcopy maps were printed for field use. Error and accuracy matrices were computed for three of the 29 flight lines, one for each of the major sections, and the results indicated the average accuracy of the three flight lines' classifications was 92.62%.
机译：本文探讨了使用多光谱扫描仪数据检测和划定伊利运河沿岸潜在渗漏点的可行性。使用多光谱扫描仪在29条航线上收集了热和近红外数据，覆盖了145英里的运河的三个主要区域。自动化的图像分类技术被用于将潜在的渗漏部位（由地面上的潮湿区域指示）与其他类型的地面覆盖物分开。生成的分类图像已注册到纽约州交通运输部平面地图，并与运河中心线站点位置一起加载到地理信息系统数据库中。打印硬拷贝地图以供现场使用。计算了29条航线中的3条航线的误差和准确性矩阵，每个主要航段都计算了一条误差和准确性矩阵，结果表明，这3条航线的分类的平均准确性为92.62％。

著录项

  • 作者

    Washburn, George Robert.;

  • 作者单位

    State University of New York College of Environmental Science and Forestry.;

  • 授予单位 State University of New York College of Environmental Science and Forestry.;
  • 学科 Engineering Environmental.; Remote Sensing.; Engineering Civil.
  • 学位 M.S.
  • 年度 2002
  • 页码 82 p.
  • 总页数 82
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境污染及其防治;遥感技术;建筑科学;
  • 关键词

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