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Image classification with LiDAR and GIS-data: moving from land cover to land use

机译:使用LIDAR和GIS数据进行图像分类:从陆地覆盖到土地使用

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Using image and LiDAR data the identification of image objects can be improved over using image data alone but the classification will still be mainly on the level of land cover. In order to move from land cover to land use it is suggested to include data stored in databases which can supply some information on land use. Although some of these will be stored in a GIS and can thus be linked more easily, others will typically only be indexed by street addresses with very little other geographical references. With the availability of georeferenced postal addresses these data can now be linked to image objects and used for classification purposes. An example is presented where a land cover classification is linked to the information taken from the yellow pages. This allows the identification of buildings used for commercial as well as public services down the specific branches of business. Inversely this also allows the identification of all residential buildings or those that have some kind of mixed use.
机译:使用图像和激光雷达数据可以单独使用图像数据来改善图像对象的识别,但分类仍将主要是陆地覆盖的水平。为了从土地使用到土地使用,建议包括存储在数据库中的数据,该数据可以提供有关土地使用的一些信息。虽然其中一些将被存储在GIS中,因此可以更容易地链接,其他人通常只能由街道地址索引,街道地址具有很少的其他地理参考。随着地理参考邮政地址的可用性,这些数据现在可以链接到图像对象并用于分类目的。呈现了陆地覆盖分类与从黄页所采取的信息链接的示例。这允许识别用于商业和公共服务的建筑物,并在特定的业务分支下。反向这还允许识别所有住宅建筑物或那些有某种混合使用的住宅建筑物。

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