Building detection method, device and equipment based on remote sensing image and laser point cloud

Through the building detection method based on remote sensing images and laser point clouds, the problems of cumbersome update of detection devices and inaccurate edge drawing in the prior art are solved, and higher building edge detection accuracy and settlement detection efficiency are achieved.

CN119671960AActive Publication Date: 2025-03-21CHINA SOUTHERN POWER GRID NEW ENERGY DESIGN RESEARCH INSTITUTE (GUANGDONG) CO LTD
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Patent Information

Application Number
CN202411724470.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-28
Publication Date
2025-03-21
Estimated Expiration
2044-11-28

AI Technical Summary

Technical Problem

The existing building detection methods have problems such as cumbersome update of detection devices and inaccurate edge drawings, resulting in low building edge detection accuracy and settlement detection efficiency.

Method used

The building detection method based on remote sensing images and laser point clouds is adopted. By collecting remote sensing images and laser point cloud information, pre-processing and edge detection, building edge detection frame is extracted, single building segmentation and point cloud data extraction are performed, building detection information is generated.

Benefits of technology

The accuracy of edge detection in building areas and the efficiency of building settlement detection is improved, manual participation is reduced, and the accuracy and efficiency of detection is improved.

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Abstract

The embodiment of the invention discloses a building detection method, device and equipment based on a remote sensing image and a laser point cloud. A specific embodiment of the method comprises the following steps: carrying out single building segmentation processing on a building remote sensing image; for each building segmentation remote sensing image in the building segmentation remote sensing image group, the following processing steps are executed: an image edge node coordinate sequence and surface elevation information of the building segmentation remote sensing image are determined, and each edge node coordinate in the edge node coordinate sequence represents a key node of the building segmentation remote sensing image; extracting single building point cloud data corresponding to the building segmentation remote sensing image from the laser point cloud information; and generating building detection information according to the single building point cloud data and the corresponding standard building three-dimensional data. According to the embodiment, the building area edge detection precision and the building detection efficiency are improved.
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