An Urban Landscape Modeling Method Based on Color Image Recognition

Abstract

The invention relates to an urban landscape modeling method based on colored image identification. The method comprises the steps of extracting basic straight lines constituting a roof, walls and shadows and constituting the lowest layer of the HO layer in a cast system; constructing the cast system from bottom to top, and distinguishing straight lines capable of forming a closed circuit from all the straight lines; obtaining the 3D features of a candidate roof from the straight lines capable of forming the closed circuit; quantizing the features of the candidate roof to obtain a roof model which is excellent overall. According to the method, the 2D features and 3D features of the roof and shooting angles and time are combined, and house identification accuracy is improved greatly while the height information of a building is acquired.

Description

technical field

[0001] The invention relates to the fields of computer application technology and computer vision, in particular to an urban landscape modeling method based on color image recognition. Background technique

[0002] Automatically identifying man-made objects in remote sensing images, such as houses, bridges, reservoirs, etc., is an important part of the field of computer vision. Among them, the identification of the building, the work that needs to be done includes the identification and reconstruction of the building. Building recognition refers to finding buildings based on simple features and photographic models; building reconstruction refers to using the geometric features of the target building, more accurate photographic models and other related data to perform high-precision reconstruction of buildings. reconstruction.

[0003] Now there are many methods and algorithms for identifying buildings, which are classified according to the complexity and re...

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