nisyatr/random-forest-for-buildings-height-estimation
This project aims to estimate building's height on historical maps based on the building's characteristics in the present time. Random forest regression are used to estimate the building's height, and the result will be visualized into 3D City Model Visualization that could be used for further spatial analysis.
This project helps urban planners and historical preservationists estimate building heights on old maps that lack this data. It takes current building characteristics (like perimeter and area) and historical map data to predict missing height information. The output is a 3D visualization of historical city models, useful for spatial analysis.
No commits in the last 6 months.
Use this if you need to reconstruct or analyze the three-dimensional urban landscape of a historical city using old maps.
Not ideal if you need highly precise, real-time height data for modern building structures or require the estimation for a different type of geographical feature.
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Oct 07, 2021
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