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首页> 外文期刊>GIScience & remote sensing >Incorporating road and parcel data for object-based classification of detailed urban land covers from NAIP images
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Incorporating road and parcel data for object-based classification of detailed urban land covers from NAIP images

机译：合并道路和地块数据，以基于N​​AIP图像对详细的城市土地覆盖物进行基于对象的分类

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摘要

A map showing various urban features, such as buildings, roads, and vegetation, is useful for a variety of urban planning applications. The objective of this study was to incorporate road and parcel GIS data as well as relevant expert knowledge to classify different urban land covers from 1-meter, 4-band NAIP images. Based on a hybrid simultaneous-classification and one-by-one-classification approach, a total of 14 urban classes are classified. The classification map has an overall accuracy of 90%, demonstrating a noticeable improvement over past comparable studies on detailed urban land cover classification.
机译：一张显示各种城市特征的地图，例如建筑物，道路和植被，对于各种城市规划应用都是有用的。这项研究的目的是结合道路和地块GIS数据以及相关的专家知识，从1米，4波段NAIP图像中对不同的城市土地覆盖进行分类。基于混合同时分类和一对一分类的方法，总共分类了14个城市分类。该分类图的总体准确度为90％，这表明与过去有关详细的城市土地覆盖物分类的可比研究相比有明显的改进。

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  • 来源
    《GIScience & remote sensing》 |2014年第5期|498-520|共23页
  • 作者

    Xiaomin Qiu; Shuo-Sheng Wu; Xin Miao;

  • 作者单位

    Department of Geography, Geology, and Planning, Missouri State University, 901 South National Avenue, Springfield, Missouri 65897, USA;

    Department of Geography, Geology, and Planning, Missouri State University, 901 South National Avenue, Springfield, Missouri 65897, USA;

    Department of Geography, Geology, and Planning, Missouri State University, 901 South National Avenue, Springfield, Missouri 65897, USA;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    urban land cover classification; object-based image analysis; OBIA; NAIP; Feature Analyst~®;

    机译：城市土地覆盖分类;基于对象的图像分析;OBIA;NAIP;Feature Analyst〜®;

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