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Move and remove: Multi-task learning for building simplification in vector maps with a graph convolutional neural network
16 references·7 citing·37 second hop
Move and remove: Multi-task learning for building simplification in vector maps with a graph convolutional neural network (2023)Move and remove: Multi-task learning for …Towards general-purpose representation learning of polygonal geometries (2022)Towards general-purpose repre…A review of location encoding for GeoAI: methods and applications (2022)A review of location encoding…Learning Cartographic Building Generalization with Deep Convolutional Neural Networks (2019)Learning Cartographic Buildin…Is deep learning the new agent for map generalization? (2019)Is deep learning the new agen…Template Matching and Simplification Method for Building Features Based on Shape Cognition (2017)Template Matching and Simplif…Quality assessment for building footprints data on OpenStreetMap (2014)Quality assessment for buildi…Abstracting Geographic Information in a Data Rich World (2014)Abstracting Geographic Inform…Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems (2010)Proceedings of the 18th SIGSP…Cartography in Central and Eastern Europe (2009)Cartography in Central and Ea…Modelling the Overall Process of Generalisation (2007)Modelling the Overall Process…A synoptic View of Generalisation Operators (2007)A synoptic View of Generalisa…Continuous Generalization for Visualization on Small Mobile Devices (2006)Continuous Generalization for…Optimization approaches for generalization and data abstraction (2005)Optimization approaches for g…Developments in Spatial Data Handling (2005)Developments in Spatial Data …Overcoming the knowledge acquisition bottleneck in map generalization: The role of interactive systems and computational intelligence (1995)Overcoming the knowledge acqu…A review and conceptual framework of automated map generalization (1988)A review and conceptual frame…Multi-label Contextual Operator Inference in Knowledge Acquisition for Building Generalization: A Multi-modal Learning Approach (2026)Multi-label Contextual Operat…GeoAI for map generalization in multi-scale cartography: foundations, a research agenda, and interdisciplinary perspectives (2026)GeoAI for map generalization …Submarine Terrain Generalization in Nautical Charts: A Survey of Traditional Methods and Graph Neural Network Solutions (2025)Submarine Terrain Generalizat…Simultaneous selection and displacement of buildings and roads for map generalization via mixed-integer quadratic programming (2025)Simultaneous selection and di…Deep learning in automatic map generalization: achievements and challenges (2025)Deep learning in automatic ma…A road generalization method using graph convolutional network based on mesh-line structure unit (2024)A road generalization method …A Heuristic Approach for Resolving Spatial Conflicts of Buildings in Urban Villages (2023)A Heuristic Approach for Reso…The Constraint Method for Solving Spatial Conflicts in Cartographic Generalization (1999)GENERALIZATION BASED ON LEAST SQUARES ADJUSTMENT (2000)An evaluation of measures for quantifying map information (2009)Measured and perceived visual complexity: a comparative study among three online map providers (2017)How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information (2010)Quality Assessment of the French OpenStreetMap Dataset (2010)MEASURES AND INDICATORS OF VGI QUALITY: AN OVERVIEW (2015)OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing (2020)A spatio-temporal analysis investigating completeness and inequalities of global urban building data in OpenStreetMap (2023)Elements of Cartography (1953)Contextual Building Typification in Automated Map Generalization (2001)Spatial Data Analysis (2003)Spatial data analysis: theory and practice (2004)Methodology for evaluating automated map generalization in commercial software (2009)A Road Network Selection Process Based on Data Enrichment and Structure Detection (2010)Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation (2020)Geospatial Artificial Intelligence (GeoAI) (2021)Deriving map images of generalised mountain roads with generative adversarial networks (2022)Generalisation of Geographic Information: Cartographic Modelling and Applications (2007)Artificial intelligence studies in cartography: a review and synthesis of methods, applications, and ethics (2024)Towards the next generation of Geospatial Artificial Intelligence (2025)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)The Modifiable Areal Unit Problem in Multivariate Statistical Analysis (1991)GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond (2019)Symbolic and subsymbolic GeoAI : Geospatial knowledge graphs and spatially explicit machine learning (2022)Characterizing Urban Landscapes Using Geolocated Tweets (2012)Exploration of spatiotemporal and semantic clusters of Twitter data using unsupervised neural networks (2015)Efficient transmission of vector data over the Internet (2007)Morphing polylines: A step towards continuous generalization (2008)BUILDING GENERALIZATION USING DEEP LEARNING (2018)Measurement, Optimization, and Impact of Health Care Accessibility: A Methodological Review (2012)Variable catchment sizes for the two-step floating catchment area (2SFCA) method (2012)Advances in spatial epidemiology and geographic information systems (2016)Characteristics of Heavily Edited Objects in OpenStreetMap (2012)An assessment of a collaborative mapping approach for exploring land use patterns for several European metropolises (2014)Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs (2018)
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References

  • 2014Quality assessment for building footprints data on OpenStreetMap423 cited
  • 1988A review and conceptual framework of automated map generalization335 cited
  • 2005Optimization approaches for generalization and data abstraction180 cited
  • 2005Developments in Spatial Data Handling174 cited
  • 2022A review of location encoding for GeoAI: methods and applications173 cited
  • 2010Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems170 cited
  • 2019Learning Cartographic Building Generalization with Deep Convolutional Neural Networks107 cited
  • 2007Modelling the Overall Process of Generalisation87 cited
  • 2006Continuous Generalization for Visualization on Small Mobile Devices82 cited
  • 2019Is deep learning the new agent for map generalization?81 cited
  • 1995Overcoming the knowledge acquisition bottleneck in map generalization: The role of interactive systems and computational intelligence77 cited
  • 2014Abstracting Geographic Information in a Data Rich World72 cited
  • 2007A synoptic View of Generalisation Operators67 cited
  • 2009Cartography in Central and Eastern Europe59 cited
  • 2022Towards general-purpose representation learning of polygonal geometries

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49 cited
  • 2017Template Matching and Simplification Method for Building Features Based on Shape Cognition48 cited
  • Cited by

    • 2025Deep learning in automatic map generalization: achievements and challenges16 cited
    • 2024A road generalization method using graph convolutional network based on mesh-line structure unit11 cited
    • 2023A Heuristic Approach for Resolving Spatial Conflicts of Buildings in Urban Villages5 cited
    • 2026GeoAI for map generalization in multi-scale cartography: foundations, a research agenda, and interdisciplinary perspectives4 cited
    • 2025Simultaneous selection and displacement of buildings and roads for map generalization via mixed-integer quadratic programming4 cited
    • 2026Multi-label Contextual Operator Inference in Knowledge Acquisition for Building Generalization: A Multi-modal Learning Approach3 cited
    • 2025Submarine Terrain Generalization in Nautical Charts: A Survey of Traditional Methods and Graph Neural Network Solutions3 cited