A three-dimensional building roof surface extraction method and device, a terminal and a medium

By combining dense 3D building mesh data with building base surfaces, noise processing and fine correction are performed, solving the accuracy and batch processing problems of 3D building roof extraction in dense building environments. This achieves high-precision roof dataset output, supporting urban village governance and urban landscape management.

CN116310789BActive Publication Date: 2026-05-12GUANGZHOU URBAN PLANNING & DESIGN SURVEY RES INST
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Patent Information

Application Number
CN202310030550.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-01-10
Publication Date
2026-05-12
Estimated Expiration
2043-01-10

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve high-precision batch extraction of 3D building rooftops in densely built environments, especially in densely built environments like urban villages. Existing methods cannot effectively handle the problem of building and environmental occlusion, and their recognition accuracy is limited.

Method used

By combining dense 3D building mesh data with the building base surface, noise processing and standardized building formation are performed, a candidate set of rooftops is collected, abnormally rough rooftops are screened by real-world comparison, and fine correction and semantic assignment are performed to output a high-precision rooftop dataset.

Benefits of technology

It enables high-precision batch extraction of 3D building rooftops in dense building environments, supports data construction in urban village governance, improves the automation level and data production accuracy of urban landscape management, and prevents illegal construction.

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Abstract

The application discloses a three-dimensional building sky surface extraction method and device, a terminal and a medium. The method comprises the following steps: extracting a single building body according to a building base surface through a dense three-dimensional building grid, removing three types of noise, refining an original building body surface set, detecting a sky surface set of each building body surface set by using a layered vertical probe detection method, judging an abnormal condition by using Mesh directional compression auxiliary comparison sky surface data, correcting the abnormal condition, and finally outputting the sky surface data set. Therefore, the embodiment of the application can produce sky surface data in a building dense environment in batches, support village-in-city management data construction in a real three-dimensional construction background, and achieve high balance in automation degree, data production accuracy and data processing volume. Through the collection of the sky surface data, effective management of the village-in-city buildings is realized, illegal construction is prevented, and the urban landscape is improved.
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