果冻影院

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果冻影院 Department of Civil, Environmental and Geomatic Engineering

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Building segmentation using Convolutional Neural Networks for fused airborne lidar and image data

We develop a novel pipeline which uses Active Contour models and fused image-lidar data to achieve state-of-the-art accuracy in aerial building segmentation using CNNs.

Colourized and rasterized airborne LIDAR scene

6 June 2019

Manually labelling buildings for segmentation is a time-consuming task. We show that readily available GIS mapping data such as that from the Ordnance Survey (UK) can be used as training data. Further, we develop a novel pipeline which uses Active Contour models and fused image-lidar data to achieve state-of-the-art accuracy in aerial building segmentation.

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  • David Griffiths

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