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Found 3 papers, 1 papers with code
Building Extraction at Scale using Convolutional Neural Network: Mapping of the United States
The quality of extracted buildings and processing time demonstrated the proposed CNN-based framework fits the need of building extraction at scale.
Automatic Building Extraction in Aerial Scenes Using Convolutional Networks
Automatic building extraction from aerial and satellite imagery is highly challenging due to extremely large variations of building appearances.
Combining Maps and Street Level Images for Building Height and Facade Estimation
We propose a method that integrates two widely available data sources, building footprints from 2D maps and street level images, to derive valuable information that is generally difficult to acquire -- building heights and building facade masks in images.
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