Satellite Building Recognition via Top Surface and Facade Analysis
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Solution Overview
Problem
Existing building recognition technologies in the field of maps suffer from low accuracy in obtaining building information from satellite images.
Innovation Solution
A building recognition method that involves acquiring satellite images, performing feature extraction, generating top surface and facade information, and performing top surface and facade recognition based on the feature information and parameter information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If building recognition is performed using conventional methods, then the process is simple, but the accuracy of building information is low
Solution Approach 1:
The building recognition process is divided into multiple independent modules: feature extraction module, top surface recognition module, facade recognition module, and three-dimensional model construction module. Each module processes specific aspects of building information separately, improving overall recognition accuracy while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The method transitions from two-dimensional satellite image analysis to three-dimensional building model construction by adding vertical dimension processing. Facade recognition and height parameter extraction transform planar image data into spatial structure information, significantly enhancing building information accuracy.
2Loss of information
If only top surface recognition is performed, then the process is fast, but the completeness of building information is insufficient
Solution Approach 1:
Feature extraction is performed as a preliminary step that serves both top surface recognition and facade recognition processes. The extracted features including edges, corners, and texture information are reused across multiple recognition tasks, reducing redundant processing time while ensuring complete building information capture.
Solution Approach 2:
The feature extraction module serves multiple functions: it provides features for top surface shape recognition, facade structure recognition, and three-dimensional parameter calculation. This multi-functional design reduces overall processing time while comprehensively capturing building information from various perspectives.
Data Source
AI summary
The present disclosure discloses a building recognition method and apparatus, and a device, and relates to the field of maps. The method includes acquiring a to-be-recognized satellite image of a building; performing feature extraction on the satellite image of the building to obtain feature information; generating top surface information according to the feature information to obtain top surface parameter information of the building in the satellite image; generating facade information according to the feature information to obtain facade parameter information of the building in the satellite image; and performing top surface recognition based on the feature information and the top surface parameter information to obtain a top surface recognition result of the building in the satellite image, and performing facade recognition based on the feature information and the facade parameter information to obtain a facade recognition result of the building in the satellite image.