An automated morphological filtering method for urban areas

Abstract

The present invention discloses a automated morphological filtering method suitable for urban areas, including: S1, converts point clouds to deep images, and obtains two -dimensional network data; S2 uses median de -noise to remove noise in deep images in the depth image.Data; S3, set the scale range of the filter window, use a morphological high hat operation to mark the size of the grid data; S4, setting the area and roughness constraints, detect the size of the maximum building, and determine the optimal filter window at the same time to determine the optimal filter window; S5, calculate the gradient changes of each local terrain regional regional according to the results of the morphological filtering, set the filter threshold to a linear function of gradient change; S6, according to the filter threshold of adaptive changes, filtering at the point of the base at point.The present invention can realize the automation of the optimal filter window and increase the degree of automation.Adopt a gradient -based changes in the threshold setting, this threshold can be adapted according to the actual terrain, which improves the robustness and filtering accuracy of the complex terrain.

Description

technical field [0001] The invention relates to the technical field of geographic space information systems, in particular to an automatic morphological filtering method suitable for urban areas. Background technique [0002] With the rapid development of digital cities and smart cities, there is an urgent need for us to have a more accurate understanding of the surrounding urban terrain. In recent years, airborne LiDAR (Light Detection And Ranging) technology has gradually become a new remote sensing technology for obtaining spatial geographic information. By integrating 3D laser scanners, inertial navigation systems, and global positioning systems, airborne LiDAR can obtain the orientation, distance, and surface characteristics of ground targets. Compared with traditional remote sensing methods, airborne LiDAR is less affected by the outside world and can collect data 24 hours a day. In addition, the laser pulses emitted by the airborne LiDAR system can penetrate vegetat...

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Problems solved by technology

[0009] For this reason, the embodiment of the present invention proposes an automatic morphological filtering method suitable for urban areas, which solves the problems of low degree of automation and low filtering precision in the prior art

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