Building area extraction method based on LiDAR data

Abstract

The invention discloses a building area extraction method based on LiDAR data, which belongs to the field of extraction of building through the LiDAR data and includes early-age processing of the LiDAR data, resampling of original LiDAR data, reverse iteration mathematical morphological filtering and separation of building and dense trees. The building area extraction method directly processes three-dimensional (3D) point cloud data instead of converting the point cloud into depth images, avoids information loss and added calculation quantity in the conversion process, simultaneously utilizesdifferent windows to conduct mathematical morphological filtering operation through reverse gradual iteration, basically removes effects of terrain fluctuation on the building in the mathematical morphological filtering and obtains high extraction accuracy. The building area extraction method can quickly and accurately extract LiDAR points belonging to the building area from a large range of LiDAR points and is capable of providing reliable data support for urban three-dimensional modeling.

Description

technical field [0001] The present invention relates to a method of extracting buildings from LiDAR data. In particular, a method for extracting building points from LiDAR point data using a reverse iterative mathematical morphology method. Background technique [0002] Airborne Lidar (Airborne Light Detection And Ranging, abbreviated as LiDAR; also known as Airborne Laser Scanner, abbreviated as: ALS) is a new type of measurement technology that has developed rapidly in the past decade and is widely used It has shown great prospects in the application of ground data detection and model restoration and reconstruction, and has gradually become an important method for obtaining 3D urban data models. [0003] As the quality of LiDAR data continues to improve, become easier to obtain, and continue to drop in price, the demand for automatic detection and reconstruction of 3D ground objects from LiDAR data will also increase. The most popular model. Real-time and accurate updat...

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Problems solved by technology

[0013] In view of the existing segmentation methods, the present invention mostly converts LiDAR data into depth images, thereby using the original image segmentation algorithm for processing instead of directly processing 3D point cloud data, and the original mathematical morphology method Deficiency, the present invention provides a kind of building region extraction method based on LiDAR data, and this method is mainly carried out certain improvement on the basis of mathematical morphology method, has formed a kind of new reverse iterative mathematical morphology filtering method, here The method can eliminate the influence of terrain fluctuations on the extraction of buildings, and achieve better extraction results

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