Transforming large-scale oblique photography models into manageable, interactive independent objects, achieving the leap from "viewable" to "usable", providing precise 3D spatial foundation for smart cities
Individualized modeling achieves independent identification and interaction of buildings
Oblique photography individualized modeling targets macro elements at city or park level, endowing them with independent management and interaction capabilities
Various buildings, such as residential buildings, office buildings, factories, venues, etc., are the main objects of individualization. Through individualization, independent identification and management of each building can be achieved.
Including important urban infrastructure such as bridges, roads, overpasses, towers (such as communication towers, power towers), dams, etc. After individualization, special management and analysis can be supported.
Such as stadiums, parking lots, ground paving areas of squares and other large fixed facilities. Through individualization, spatial division and functional identification can be achieved.
In specific applications,成片的绿化、水域等 may also be individually identified, enriching the information dimensions and management granularity of 3D models.
The core of individualization is to endow existing oblique photography models with independent "identity", mainly achieved through the following technologies
Using existing 2D GIS vector boundaries (such as building bottom contours) or manually drawn boundaries, perform vertical stretching and fitting cutting with oblique photography models, forming a logically independent 3D object that can be selected individually.
The model geometry is still a "single skin", but logical separation is achieved, balancing efficiency and precision.
Based on AI algorithms, automatically identify and segment different feature categories in oblique photography models, assigning independent IDs to each segmented object to achieve a highly automated individualization process.
High degree of automation, but segmentation accuracy depends on algorithm level and training data quality.
Using dense point clouds generated by oblique photography, through automatic or semi-automatic methods, generate an independent 3D mesh model with complete geometric structure for each individual object.
Can generate white models or assign real textures, which is a more thorough individualization method.
Under L3 (Component Precision Level) precision requirements, models should meet multi-dimensional high-precision standards
The outline, height, and shape of individualized objects maintain a high degree of consistency with real features, able to clearly distinguish different buildings and infrastructure.
Each individualized object must be attached with accurate, complete attribute information, such as building name, address, number of floors, function type, property unit, etc.
Capable of achieving precise click query, highlight display and attribute calling, users can select any building and instantly obtain all related information.
To ensure the quality and application effect of individualized models, multiple technical requirements must be met
Individualized vector boundaries must precisely fit the feature outlines of oblique photography models in 3D space, avoiding edge leakage or misalignment, ensuring visual consistency and interaction accuracy.
The individualization process and its additional attribute information should not significantly increase the data volume of the original oblique photography model, ensuring smooth loading and rendering performance on the Web and in large scenes.
Each individual object must have an independent data structure and be assigned a unique ID and rich attribute fields, transforming it from a "visual model" to an "information carrier" to support in-depth applications.
The model must support spatial query, regional statistics (such as all buildings within a selected area) and buffer zone analysis based on individual objects, meeting the diverse analysis needs of smart cities.
Individualized oblique photography models can serve as the baseplate of city information models, seamlessly connecting with multiple subsystems
As a 3D base map, it conducts linkage analysis and display with 2D GIS data, realizing 2D-3D integration and enhancing the application value of geographic information.
Carrying and visualizing urban big data such as building census, population, economy, etc., conducting macro situation analysis and assisting urban management decisions.
Realizing "building-address-emergency" linkage, quickly locating target buildings during emergencies, and viewing their surrounding environment to improve emergency response efficiency.
Used for 3D comparison of planning schemes, building compliance review, sunshine analysis, etc., improving the scientificity and efficiency of planning management.
Visually displaying the spatial location and ownership information of real estate units, realizing precise management and efficient query of real estate.
Through individualization, oblique photography models transform from "viewable" to "usable", becoming important 3D spatial infrastructure supporting various smart city applications, providing precise spatial information support for urban management, planning decisions, emergency command, etc.
Whether you need to understand the details of 3D modeling technology or want to get a project quote, our professional team will provide you with one-on-one consultation services.
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