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Rigi

Rigi is an open-source software framework designed for automating the creation of 3D semantic models from aerial and satellite imagery. It processes large datasets to identify and classify objects like buildings, roads, and vegetation, enabling the generation of detailed, accurate 3D representations of landscapes. Rigi combines computer vision, machine learning, and graphics techniques, making it valuable for applications in urban planning, environmental monitoring, and mapping. Its modular design allows researchers and developers to customize workflows, advancing the automation and efficiency of geospatial data analysis.