earticle

영어

This study will concentrate on developing an automated process for creating a 3D environment utilizing satellite imagery, a segmentation algorithm, and geospatial data. Traditional methods for crafting a 3D environment primarily rely on manually sculpting terrain and generating 3D objects, which requires substantial time, effort, and resources from the developer. We aim to introduce a system that combines satellite images, digital terrain models, and building segmentation through Python programming to create 3D environments in Unreal Engine. The implementation includes a Python Tkinter GUI for data collection and preprocessing, Mask-RCNN for building segmentation, and the use of Open Street Map (OSM) data to utilize data availability and visualization of data. The system will be evaluated by generating 3D scene environments using satellite image input and incorporating geospatial datasets to analyze and measure the visual similarities between actual and generated 3D environments.