An aircraft platform siting method based on oblique photography

By constructing a semantic 3D scene model and performing multi-objective optimization, the problems of fine representation of 3D scenes and comprehensive consideration of multi-dimensional factors in aircraft platform site selection were solved, achieving efficient platform location selection under the premise of safety and compliance, and improving imaging quality and coverage.

CN121884200BActive Publication Date: 2026-06-05SHANDONG EXPRESSWAY PLANNING & DESIGN CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG EXPRESSWAY PLANNING & DESIGN CO LTD
Filing Date
2026-03-20
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

In existing oblique photogrammetry operations, the methods for selecting aircraft platform locations lack a detailed representation of the real 3D scene, making it difficult to comprehensively consider the influence of building volume, occlusion relationships, and complex terrain. Furthermore, they fail to effectively utilize the geometric uncertainties, semantic information, and multidimensional factors of 3D reconstruction, making it difficult to achieve the optimal overall platform location selection in terms of imaging quality, mission value, operational costs, and safety compliance.

Method used

By constructing a semantic 3D scene model, introducing geometric uncertainty field, semantic value field, and constraint field, and combining a multi-objective optimization mechanism, the site selection of aircraft platforms is carried out. Specific steps include oblique photogrammetry data acquisition, semantic segmentation, 3D reconstruction, construction of platform site selection feature field, and solving the multi-objective optimization model to generate site selection output data.

Benefits of technology

While meeting airspace safety and regulatory requirements, we aim to improve coverage and imaging quality in key areas, reduce blind spots and invalid flights, and achieve the overall optimal selection of platform locations.

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Abstract

The application provides a tilt photography-based aircraft platform site selection method, and belongs to the field of unmanned aircraft management and optimization. The technical scheme is as follows: a multi-objective optimization model is established after a semantic three-dimensional scene model and a platform site selection characteristic field are sequentially constructed by collecting original task data; and site selection output data for flight task planning are obtained after the multi-objective optimization model is solved. The application has the beneficial effects that: the application uses a semantic three-dimensional scene, introduces a geometric uncertainty field, a semantic value field and a constraint field, and realizes joint site selection through view analysis and multi-objective optimization, so that the key area coverage rate and imaging quality can be improved, and the blind area and invalid flight can be reduced under the premise of meeting airspace safety and regulations.
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