2022
DOI: 10.3390/rs14143415
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A Prior Level Fusion Approach for the Semantic Segmentation of 3D Point Clouds Using Deep Learning

Abstract: Three-dimensional digital models play a pivotal role in city planning, monitoring, and sustainable management of smart and Digital Twin Cities (DTCs). In this context, semantic segmentation of airborne 3D point clouds is crucial for modeling, simulating, and understanding large-scale urban environments. Previous research studies have demonstrated that the performance of 3D semantic segmentation can be improved by fusing 3D point clouds and other data sources. In this paper, a new prior-level fusion approach is… Show more

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Cited by 8 publications
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References 47 publications
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