3/18/2023 0 Comments Boxy svg clip finished product![]() In order to use the Custom Feature Extraction tool, a series of equally spaced profiles perpendicular to the defined path is created, and within each of these views, the position of each vertex in the extracted feature is determined.Įxtracted building with a pitched roof in the 3D Viewer When used with a point cloud, the path along which the profile is created is effectively buffered, so a user-defined swath of points is displayed. The Custom Feature Extraction procedure involves the use of Global Mapper’s Path Profile tool, which is more typically used to render a cross-sectional view of raster terrain data. Custom Feature Extraction Method with the Path Profile Tool The building layer can be exported to various supported vector formats, including shapefile, dxf, geojson, geopackage, and many other options.įor more precise building features, an alternative, hands-on method for creating 3D buildings is described below. The buildings are comprised of vector area features that can be moved and reshaped, can have attributes added, and can be symbolized with various area fill and border options. In the 3D Viewer, the walls and roof planes are displayed as 3D objects. Lidar Feature Extraction Settings dialog box to extract the buildingsĪfter extraction, the newly created vector features are rendered in the 2D map as polygons. Also enabled is the Sharpen Edges and Stitch Planes by Adding Points at Planar Intersections that creates point features along intersections between planes and smoothly stitches together pitched roofs. In the example above, the options selected include: Building Footprints which creates polygons coinciding with the extent of the classified points Regularize to smooth the building footprints with parallel walls and 90-degree angles Roof Planes that identifies and creates elevated roof features for extracted buildings and Side Walls which generates vertical polygons coinciding with the building walls. They can also be generated as 3D models photo-textured with real-world colors if RGB values are included in the attributes of the point cloud. Extracted buildings can be generated as footprints or as 3D objects containing area features for the roof planes and sidewalls. Under Building Extraction Settings in the Lidar Feature Extraction Settings dialog box, the Extract Buildings option creates 3D building vectors derived from points classified as buildings, according to ASPRS lidar classification specifications. Subsequently, the Extract Vector Features tool is used to extract the footprints, roof structures, and walls of each building.ģD Viewer displaying the extracted building features ![]() To extract vector features, it is necessary to first identify and classify points that represent buildings, which can be done using the Lidar Module’s Auto-Classify Non-Ground Lidar Points tool. The Extract Vector Features tool analyzes the geometric characteristics of points classified as buildings and automatically creates the corresponding structural planes, while the Custom Feature Extraction tool utilizes the Path Profile window to display a series of cross-sectional views of the point cloud for accurately creating one building at a time.Īuto-Extraction Method with the Extract Vector Features Tool ![]() In this blog, we discuss two feature extraction methods for generating 3D building models. With Global Mapper and the accompanying Lidar Module, it is easy to extract 3D buildings in vector format from lidar and other point cloud datasets. Creating and displaying buildings as multifaceted three-dimensional (3D) features is a realistic way to represent an urban landscape. ![]()
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