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首页> 外文期刊>International journal of image and data fusion >Distance to neighbour calculations among OBIA primitives as an innovation to urban mapping techniques
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Distance to neighbour calculations among OBIA primitives as an innovation to urban mapping techniques

机译：OBIA原语之间到邻居的距离计算，这是对城市制图技术的创新

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摘要

The intuitive notion of urban fabric is related to the type of buildings and their proximity. Mapping the density of urban fabric by proxy, using the vegetation index, is considered standard. The classification of urban fabric can also be achieved using the information of all individual buildings. By using the volume and measuring their distance to all other image objects in the map, a new urban density map is made. This requires all building volumes in the city and fusing such data with remote-sensing imagery. The distance calculation of over 1.3 million segments in 6 categories, results in a new map (of Cracow) with urban density and is compared to the existing urban fabric map. The Normalized Difference Vegetation Index and the commercial off the shelf (COTS) roadmap are traditionally recommended for urban mapping. But COTS data can, at this stage, not be automated. The mass processing of the distance to categorical buildings, with object-based image analysis (OBIA), can be automated instead. The OBIA classification requires image-object fusion for the transfer of attributes in various levels of aggregation. This procedure can be applied in extending the manuals and it serves as an innovation for the standard urban map procedure.
机译：城市结构的直观概念与建筑物的类型及其邻近程度有关。使用植被指数通过代理绘制城市结构密度的图被认为是标准的。城市结构的分类也可以使用所有单独建筑物的信息来实现。通过使用体积并测量其与地图中所有其他图像对象的距离，可以制作新的城市密度地图。这需要城市中的所有建筑量，并将此类数据与遥感图像融合在一起。通过对6类中超过130万个路段的距离计算，得出了一张具有城市密度的新地图（克拉科夫），并将其与现有的城市结构图进行了比较。传统上建议使用归一化植被指数和现成的商业路线图（COTS）进行城市制图。但是，现阶段COTS数据无法实现自动化。相反，可以使用基于对象的图像分析（OBIA）自动化对分类建筑物的距离的大规模处理。 OBIA分类需要图像对象融合，以便在各种聚合级别中传递属性。此过程可用于扩展手册，它是标准城市地图过程的一项创新。

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    R. de Kok; P. Wezyk; B. Hejmanowska; J. Ksiazek;

  • 作者单位

    ProGea, Krakow, Poland;

    Laboratory of Geomatics, Institute of Forest Resource Management, Faculty of Forestry, University of Agriculture, Krakow, Poland;

    Faculty of Mine Surveying and Environmental Engineering, Department of Geoinformation, Photogrammetry and Remote Sensing of Environment, AGH University of Science and Technology, Krakow, Poland;

    Faculty of Mine Surveying and Environmental Engineering, Department of Geoinformation, Photogrammetry and Remote Sensing of Environment, AGH University of Science and Technology, Krakow, Poland;

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  • 正文语种 eng
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  • 关键词

    Urban Atlas; urban fabric-big data; distance to neighbour; perception; OBIA;

    机译：城市地图集;城市结构大数据;到邻居的距离;知觉;欧巴;

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