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@inproceedings{bb338930,
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@inproceedings{bb338931,
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        TITLE = "Building Roof Plane Extraction from LIDAR Data",
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        AUTHOR = "Awrangjeb, M. and Ravanbakhsh, M. and Fraser, C.S.",
        TITLE = "Building Detection from Multispectral Imagery and LIDAR Data Employing
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        AUTHOR = "Awrangjeb, M. and Ravanbakhsh, M. and Fraser, C.S.",
        TITLE = "Automatic Building Detection Using LIDAR Data and Multispectral Imagery",
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@article{bb338938,
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@article{bb338939,
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@article{bb338940,
        AUTHOR = "Li, W.J. and He, C.H. and Fang, J.R. and Zheng, J.P. and Fu, H.H. and Yu, L.",
        TITLE = "Semantic Segmentation-Based Building Footprint Extraction Using Very
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        NUMBER = "4",
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@inproceedings{bb338941,
        AUTHOR = "Li, W.J. and He, C.H. and Fang, J.R. and Fu, H.H.",
        TITLE = "Semantic Segmentation Based Building Extraction Method Using
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        PAGES = "233-2333",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog941footp2.html#TT333327"}

@article{bb338942,
        AUTHOR = "Bagheri, H. and Schmitt, M. and Zhu, X.X.",
        TITLE = "Fusion of Multi-Sensor-Derived Heights and OSM-Derived Building
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        NUMBER = "4",
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@article{bb338943,
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        TITLE = "Automatic Building Footprint Extraction from Multi-Resolution Remote
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        JOURNAL = IJGI,
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@inproceedings{bb338944,
        AUTHOR = "Bittner, K. and Cui, S. and Reinartz, P.",
        TITLE = "Building Extraction From Remote Sensing Data Using Fully Convolutional
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@article{bb338945,
        AUTHOR = "Pasquali, G. and Iannelli, G.C. and Dell'Acqua, F.",
        TITLE = "Building Footprint Extraction from Multispectral, Spaceborne Earth
Observation Datasets Using a Structurally Optimized U-Net
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@article{bb338946,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog941footp2.html#TT333332"}

@article{bb338947,
        AUTHOR = "Wei, S. and Ji, S. and Lu, M.",
        TITLE = "Toward Automatic Building Footprint Delineation From Aerial Images
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog941footp2.html#TT333333"}

@article{bb338948,
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        TITLE = "Building Footprint Generation by Integrating Convolution Neural
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        JOURNAL = GeoRS,
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        NUMBER = "11",
        MONTH = "November",
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@article{bb338949,
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@article{bb338950,
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        TITLE = "Automated Processing of Remote Sensing Imagery Using Deep Semantic
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@article{bb338951,
        AUTHOR = "Gautam, D. and Lucieer, A. and Bendig, J. and Malenovsky, Z.",
        TITLE = "Footprint Determination of a Spectroradiometer Mounted on an Unmanned
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@article{bb338952,
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        TITLE = "Joint Learning of Contour and Structure for Boundary-Preserved
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@article{bb338953,
        AUTHOR = "Zhu, Q. and Liao, C. and Hu, H. and Mei, X.M. and Li, H.F.",
        TITLE = "MAP-Net: Multiple Attending Path Neural Network for Building
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@article{bb338954,
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        TITLE = "Open Data and Deep Semantic Segmentation for Automated Extraction of
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@article{bb338955,
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@article{bb338957,
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Footprint Polygons from Very High-Resolution Aerial Imagery",
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@article{bb338958,
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        TITLE = "Automatic Building Detection with Polygonizing and Attribute
Extraction from High-Resolution Images",
        JOURNAL = IJGI,
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@article{bb338959,
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Building Shapes in Map Space",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog941footp2.html#TT333345"}

@article{bb338960,
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@article{bb338961,
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        TITLE = "Graph Convolutional Networks for the Automated Production of Building
Vector Maps From Aerial Images",
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extraction from remote sensing imagery",
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Convolutional Neural Networks and a New Dataset for Building
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@article{bb338964,
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        TITLE = "RegGAN: An End-to-End Network for Building Footprint Generation with
Boundary Regularization",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog941footp2.html#TT333350"}

@article{bb338965,
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        TITLE = "Data Augmentation for Building Footprint Segmentation in SAR Images:
An Empirical Study",
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@article{bb338966,
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        TITLE = "Few-Shot Building Footprint Shape Classification with Relation
Network",
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@article{bb338967,
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        TITLE = "Suggestive Data Annotation for CNN-Based Building Footprint Mapping
Based on Deep Active Learning and Landscape Metrics",
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@article{bb338968,
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        TITLE = "Aerial Imagery-Based Building Footprint Detection with an Integrated
Deep Learning Framework: Applications for Fine Scale Wildland-Urban
Interface Mapping",
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@article{bb338969,
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        TITLE = "A Framework Integrating DeeplabV3+, Transfer Learning, Active
Learning, and Incremental Learning for Mapping Building Footprints",
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@article{bb338970,
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        TITLE = "A Recursive Hull and Signal-Based Building Footprint Generation from
Airborne LiDAR Data",
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@article{bb338971,
        AUTHOR = "Wang, Z.H. and Meng, Y. and Chen, J.B. and Ma, J.X. and Yue, A.Z. and Chen, J.S.",
        TITLE = "Learning Color Distributions from Bitemporal Remote Sensing Images to
Update Existing Building Footprints",
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@article{bb338972,
        AUTHOR = "Wang, J.W. and Meng, L.X. and Li, W.J. and Yang, W. and Yu, L. and Xia, G.S.",
        TITLE = "Learning to Extract Building Footprints From Off-Nadir Aerial Images",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog941footp2.html#TT333358"}

@article{bb338973,
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radiometric consistency losses and its effect on building delineation",
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@article{bb338974,
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        TITLE = "Multi-Scale Feature Map Aggregation and Supervised Domain Adaptation
of Fully Convolutional Networks for Urban Building Footprint
Extraction",
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        NUMBER = "2",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog941footp2.html#TT333360"}

@article{bb338975,
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        TITLE = "BuildMapper: A fully learnable framework for vectorized building
contour extraction",
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@article{bb338976,
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        TITLE = "Double Branch Parallel Network for Segmentation of Buildings and
Waters in Remote Sensing Images",
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@article{bb338977,
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Low-Resolution Remote-Sensing Images",
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MapSwipe",
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vector maps with a graph convolutional neural network",
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Footprints of OpenStreetMap and INSPIRE Buildings",
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@article{bb338984,
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Building Outlines with Jagged Edges",
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        AUTHOR = "Liu, J.L. and Xia, Y. and Feng, J.F. and Bai, P.",
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Modeling and Gated Boundary Refinement",
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@article{bb338986,
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        TITLE = "Integrated Framework for Unsupervised Building Segmentation with
Segment Anything Model-Based Pseudo-Labeling and Weakly Supervised
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Complex Urban Environments",
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@article{bb338989,
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@article{bb338998,
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@article{bb338999,
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