3D City Texture Modeling Using Satellite and Video Data
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Solution Overview
Problem
The construction of a three-dimensional texture model of a city is hindered by high costs and difficulties due to the need for manual field exploration, drone flight control, and regulatory approvals in oblique photography technology.
Innovation Solution
A method utilizing satellite remote sensing data and video data to generate a three-dimensional texture model, eliminating the need for low-altitude drone imaging and reducing costs and complexity by using satellite and video data to determine a three-dimensional framework and surface texture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If oblique photography technology using low-altitude drones is used to capture images, then real-view images of the city can be obtained, but modeling costs increase due to manual field exploration, route design, and flight control
Solution Approach 1:
The patent uses satellite remote sensing data as a copy or alternative source of spatial information instead of directly capturing images with drones. The satellite data provides a simplified way to obtain three-dimensional framework models and spatial coordinates without the need for complex drone operations, thereby reducing modeling costs while maintaining acceptable measurement precision.
Solution Approach 2:
The patent replaces the mechanical drone system with a combination of satellite remote sensing and video data processing. Instead of using physical drones for image capture, the system substitutes this mechanical approach with remote sensing data acquisition and computational methods to generate three-dimensional models, significantly reducing operational complexity and cost.
2Measurement precision
If low-altitude drones are used for image capture, then three-dimensional texture models can be constructed, but regulatory approvals are required and image capture cannot be performed in some cities
Solution Approach 1:
The patent uses video data as an alternative copy or substitute for drone-captured images. By leveraging existing video data sources and satellite remote sensing data, the system achieves three-dimensional modeling capability without requiring actual drone deployment, thereby avoiding regulatory restrictions and operational complexities associated with drone flights.
Solution Approach 2:
The patent replaces the mechanical drone system with a data-processing-based system that uses satellite remote sensing data and video data. This substitution eliminates the need for physical drone operations, regulatory approvals, and field exploration, significantly reducing operational complexity while maintaining modeling capability.
3Measurement precision
If manual field exploration and drone flight control are required, then accurate spatial coordinates can be obtained, but time consumption and operational difficulty increase
Solution Approach 1:
The patent utilizes satellite remote sensing data and video data that have already been captured before the modeling process begins. This preliminary action of data acquisition eliminates the need for time-consuming field exploration and real-time drone operations, allowing the system to directly process existing data to obtain spatial coordinates and generate three-dimensional models efficiently.
Solution Approach 2:
The patent replaces the time-consuming mechanical process of manual field exploration and drone flight control with automated data processing methods. By using satellite remote sensing data and video data combined with computational algorithms, the system quickly obtains spatial coordinates and generates models without requiring physical field work, significantly reducing time consumption.
Data Source
AI summary
Embodiments of this application provide a method for generating a three-dimensional texture model of a city based on composite data and a device. The method includes: obtaining satellite remote sensing data of a target region, where the satellite remote sensing data is used to determine a three-dimensional framework model and spatial coordinates of a to-be-measured object; obtaining video data within a preset range of the spatial coordinates of the to-be-measured object, where the video data is used to determine a surface texture of the to-be-measured object; and generating a three-dimensional texture model of the to-be-measured object based on the surface texture and the three-dimensional framework model of the to-be-measured object, where the three-dimensional texture model of the to-be-measured object is used to generate a three-dimensional texture model of the target region.