Satellite Image Object Extraction for Block Coding Education
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Solution Overview
Problem
Current satellite imagery technology has limited educational content despite its potential for enhancing academic achievement, particularly in block coding education, and lacks effective methods for identifying and classifying objects and buildings on the ground surface.
Innovation Solution
A method and apparatus using satellite imagery that includes a satellite image acquirer, object extractor, and service processing unit to analyze and classify objects, generate object images, and provide coding data, enabling the identification and classification of ground surface features and offering travel route services based on satellite images without real-time satellite information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If satellite imagery technology is used for education, then academic achievement is enhanced, but lack of educational content limits its application
Solution Approach 1:
The patent creates educational content by copying and processing satellite imagery data into standardized object images and classification datasets. The service processing unit generates educational materials including object images, classification results, and statistical data that can be used for block coding education, effectively transforming raw satellite data into educational resources.
Solution Approach 2:
The system changes parameters of satellite imagery by applying AI-based object extraction and classification to transform raw images into structured educational content. The service processing unit modifies image parameters, adds classification labels, and generates statistical data to create versatile educational materials suitable for different learning objectives.
2Measurement precision
If object extraction and classification is performed on satellite images, then identification accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent introduces an intermediary AI-based object extraction system that mediates between raw satellite imagery and final classification results. The service processing unit acts as an intermediary that automatically performs object detection, extraction, and classification, reducing the complexity burden on users while maintaining high identification accuracy through advanced image processing algorithms.
3Adaptability or versatility
If AI-based object extraction is implemented, then service functionality is enhanced, but computational resources required increase
Solution Approach 1:
The system performs preliminary action by pre-processing satellite images and pre-generating object extraction results and classification data. The service processing unit creates and stores educational content, object images, and statistical data in advance, so that when users request services, the computationally intensive AI processing has already been completed, reducing real-time resource consumption.
Data Source
AI summary
Provided is a service providing apparatus using satellite imagery. The service providing apparatus includes a satellite image information acquirer configured to acquire a satellite image; an object extractor configured to analyze the satellite image, extract an object from the satellite image, and generate an object image corresponding to the object; a storage configured to store the satellite image and the object image; and a service processing unit configured to provide an object extraction-based service and coding data associated with the object extraction-based service, based on at least one of the satellite image and the object image, and thereby provides a method of identifying and classifying various types of objects and buildings present on the ground surface based on image data on the ground surface.