发明名称 Method and system for conflating raster and vector data
摘要 Embodiments of the present invention provide for accurate relative location information to be preserved between vector and raster data sources during non-linear transformation. In a method according to an embodiment of the present invention, raster and vector data are received that corresponds to maps and conflated in a multi-step process. Objects of at least one of vector data are identified and conflated. For example, in an embodiment of the present invention, vertices of vector objects are identified. In a subsequent step, raster data is conflated by applying a non-linear transformation to the raster data using identified vertices of vector data from before and after conflation as control points. The resulting hybrid map is output that is advantageously accurate in general but is further advantageously accurate at critical points.
申请公布号 US9558574(B2) 申请公布日期 2017.01.31
申请号 US201213400502 申请日期 2012.02.20
申请人 AUTODESK, INC. 发明人 Sokolov Serguei
分类号 G09G5/00;G06T11/60 主分类号 G09G5/00
代理机构 Artegis Law Group, LLP 代理人 Artegis Law Group, LLP
主权项 1. A computer-implemented method for generating improved mapping information, the method comprising: receiving raster data corresponding to a first mapped area; receiving vector data wherein at least a portion of the vector data corresponds to the first mapped area; identifying a first set of control points from the raster data and the vector data; conflating the vector data with a first conflation process based on the first set of control points to produce conflated vector data; identifying a second set of control points comprising vertices of vector objects included in the vector data and vertices of vector objects included in the conflated vector data; conflating the raster data with a second conflation process based on the second set of control points comprising vertices of vector objects included in the vector data before and after the vector data is conflated; and generating hybrid data from the conflated raster data and vector data.
地址 San Rafael CA US