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@article{bb283856,
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@article{bb283858,
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@article{bb283860,
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@article{bb283861,
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@article{bb283862,
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        TITLE = "Parameter-Free Half-Spaces Based 3D Building Reconstruction Using
Ground and Segmented Building Points from Airborne LiDAR Data with 2D
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@article{bb283863,
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@article{bb283864,
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@inproceedings{bb283865,
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        TITLE = "Evaluation of 3d Building Model Using Terrestrial Laser Scanning And
Drone Photogrammetry",
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@article{bb283866,
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Associated to Building Roof",
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@article{bb283867,
        AUTHOR = "Gharineiat, Z. and Kurdi, F.T. and Campbell, G.",
        TITLE = "Review of Automatic Processing of Topography and Surface Feature
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@article{bb283868,
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on the Semantic Segmentation for BIM Modeling and Evaluation",
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@inproceedings{bb283870,
        AUTHOR = "Li, Z.X. and Xu, B. and Shan, J.",
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@inproceedings{bb283871,
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@article{bb283874,
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        TITLE = "First Lidar Campaign in the Industrial Sites of Volta Redonda-RJ and
Lorena-SP, Brazil",
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@article{bb283875,
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        TITLE = "Group-in-Group Relation-Based Transformer for 3D Point Cloud Learning",
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@article{bb283876,
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@article{bb283877,
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        TITLE = "Robust Extraction of 3D Line Segment Features from Unorganized
Building Point Clouds",
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@article{bb283878,
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Turrets Based on LiDAR Data",
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@article{bb283879,
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@article{bb283880,
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@article{bb283881,
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@article{bb283882,
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Components Using 3D Laser Scanning and Building Information Model",
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        NUMBER = "3",
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@article{bb283883,
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from Different Sources and Time Periods",
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@article{bb283884,
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@inproceedings{bb283885,
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        TITLE = "VASAD: a Volume and Semantic dataset for Building Reconstruction from
Point Clouds",
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@inproceedings{bb283886,
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@inproceedings{bb283887,
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@inproceedings{bb283888,
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        TITLE = "Label-efficient Deep Learning-based Semantic Segmentation of Building
Point Clouds At Lod3 Level",
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@inproceedings{bb283889,
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@inproceedings{bb283890,
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@inproceedings{bb283891,
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@inproceedings{bb283892,
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@inproceedings{bb283893,
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@inproceedings{bb283894,
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@inproceedings{bb283895,
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Lidar and Drone Imagery",
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@inproceedings{bb283896,
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@inproceedings{bb283897,
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@article{bb283898,
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@inproceedings{bb283899,
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