Automatic building model based on CGA rule

Abstract

The invention discloses an automatic building model based on a CGA rule. The automatic building model comprises the following steps: urban construction planning data; collecting high-definition remotesensing images and DEM data in a city range; converting the line data into vector data in the GIS; drawing vector data based on the image registration line with spatial reference; using a CGA rule tocarry out building white mold stretching and road preliminary symbolization on the real GIS vector; classifying and abstracting the building and traffic models; writing CGA rules of different abstract classifications, and applying the same rule for the same type of model to generate a model; three-dimensional reconstruction is performed on scenes such as urban buildings and rail transit based onreal GIS data through a CGA rule, a large-scale urban model with unprecedented detail levels can be effectively generated, and the CGA rule has the advantages of reusability, batch generation and thelike; and a large-scale city model with an unprecedented detail level can be effectively generated.

Description

technical field [0001] The invention belongs to the field of three-dimensional reconstruction based on real GIS data, and in particular relates to an automatic building model based on CGA rules. Background technique [0002] CGA Rule Grammar is a rule grammar for architectural model modeling that produces architectural models with high visual quality and geometric detail [0003] Existing technologies cannot quickly and automatically build urban building models and rail transit models in large-scale scenarios for digital cities, urban planning, transportation and other industries based on real GIS data. [0004] Traditional 3D modeling cannot be based on real spatial data and cannot be combined with real geographic information; secondly, the construction-based modeling method is not suitable for the generation of urban 3D models in large-scale scenarios; and there are problems such as long cycle and high cost. [0005] Existing technologies use a large number of human-compu...

AI Technical Summary

Problems solved by technology

[0003] Existing technologies cannot quickly and automatically build urban building models and rail transit models in large-scale scenarios for digital cities, urban planning, transportation and other industries based on real GIS data

[0004] Traditional 3D modeling cannot be based on real spatial data and cannot be combined with real geographic information; secondly, the construction-based modeling method is not suitable for the generation of urban 3D models in large-scale scenarios; and there are problems such as long cycle and high cost

[0005] Existing technologies use a large number of human-computer interactions to model manually, and cannot effectively generate large-scale urban models with high levels of detail.

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