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Deriving map images of generalised mountain roads with generative adversarial networks
9 references·12 citing·41 second hop
Deriving map images of generalised mountain roads with generative adversarial networks (2022)Deriving map images of generalised mounta…Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation (2020)Exploring the Potential of De…Is deep learning the new agent for map generalization? (2019)Is deep learning the new agen…Assuring the quality of volunteered geographic information (2012)Assuring the quality of volun…A typology of operators for maintaining legible map designs at multiple scales (2011)A typology of operators for m…A Road Network Selection Process Based on Data Enrichment and Structure Detection (2010)A Road Network Selection Proc…Generalization-oriented Road Line Classification by Means of an Artificial Neural Network (2007)Generalization-oriented Road …Evaluation in the Map Generalisation Process (2007)Evaluation in the Map General…Optimization approaches for generalization and data abstraction (2005)Optimization approaches for g…Overcoming the knowledge acquisition bottleneck in map generalization: The role of interactive systems and computational intelligence (1995)Overcoming the knowledge acqu…GeoAI for map generalization in multi-scale cartography: foundations, a research agenda, and interdisciplinary perspectives (2026)GeoAI for map generalization …Deep learning in automatic map generalization: achievements and challenges (2025)Deep learning in automatic ma…Machine learning in cartography (2024)Machine learning in cartograp…Automatic road network selection method considering functional semantic features of roads with graph convolutional networks (2024)Automatic road network select…Using machine learning and data enrichment in the selection of roads for small-scale maps (2023)Using machine learning and da…Polyline simplification using a region proposal network integrating raster and vector features (2023)Polyline simplification using…PolygonTranslator - learning to simplify building footprints from one scale to another (2023)PolygonTranslator - learning …Multiple representations in geospatial databases, the brain’s spatial cells, and deep learning algorithms (2023)Multiple representations in g…Move and remove: Multi-task learning for building simplification in vector maps with a graph convolutional neural network (2023)Move and remove: Multi-task l…Integrating domain knowledge and graph convolutional neural networks to support river network selection (2023)Integrating domain knowledge …DeepMapScaler: a workflow of deep neural networks for the generation of generalised maps (2023)DeepMapScaler: a workflow of …A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints (2023)A deep learning approach for …The geographical magazine (1951)A review and conceptual framework of automated map generalization (1988)Geographical information systems: principles and applications (1992)Map generalization in the Web age (2005)BUILDING GENERALIZATION USING DEEP LEARNING (2018)Elements of Cartography (1953)Cartography: Thematic Map Design (1990)How to Lie with Maps (1996)Eye Tracking to Explore the Potential of Enhanced Imagery Basemaps in Web Mapping (2014)A typification method for linear pattern in urban building generalisation (2016)Segmentation and sampling method for complex polyline generalization based on a generative adversarial network (2021)The Predictive Sample Reuse Method with Applications (1975)Studies of Mind and Brain (1982)Line generalisation by repeated elimination of points (1993)Hybrid line simplification for cartographic generalization (2011)Machine Learning Classification of Buildings for Map Generalization (2017)Polyline simplification based on the artificial neural network with constraints of generalization knowledge (2022)Laws of organization in perceptual forms. (1938)Geographical information systems : principles, techniques, management, and applications (2005)Feature pruning by upstream drainage area to support automated generalization of the United States National Hydrography Dataset (2009)A Source Book Of Gestalt Psychology (2013)Application of AHP to Road Selection (2020)Central Places in Southern Germany (1967)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Citizens as sensors: the world of volunteered geography (2007)Key issues and research priorities for public participation GIS (PPGIS): A synthesis based on empirical research (2013)Geospatial big data handling theory and methods: A review and research challenges (2015)Global maps of travel time to healthcare facilities (2020)Methodology for evaluating automated map generalization in commercial software (2009)Geospatial Artificial Intelligence (GeoAI) (2021)Learning Cartographic Building Generalization with Deep Convolutional Neural Networks (2019)Constraint-Based Evaluation of Map Images Generalized by Deep Learning (2022)Data‐driven polyline simplification using a stacked autoencoder‐based deep neural network (2022)Positioning Names on Maps (1975)GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond (2019)Posthuman Cartography? Rethinking Artificial Intelligence, Cartographic Practices, and Reflexivity (2025)Towards AI-Assisted Mapmaking: Assessing the Capabilities of GPT-4o in Cartographic Design (2025)Characterizing Urban Landscapes Using Geolocated Tweets (2012)Exploration of spatiotemporal and semantic clusters of Twitter data using unsupervised neural networks (2015)Specifying Map Requirements for Automated Generalization of Topographic Data (2009)Automated evaluation of building alignments in generalized maps (2013)
this work references cited by second hop

References

  • 2012Assuring the quality of volunteered geographic information773 cited
  • 2005Optimization approaches for generalization and data abstraction180 cited
  • 2010A Road Network Selection Process Based on Data Enrichment and Structure Detection120 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
  • 2020Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation59 cited
  • 2007Evaluation in the Map Generalisation Process59 cited
  • 2011A typology of operators for maintaining legible map designs at multiple scales55 cited
  • 2007Generalization-oriented Road Line Classification by Means of an Artificial Neural Network48 cited

Cited by

  • 2024Machine learning in cartography32 cited
  • 2023Move and remove: Multi-task learning for building simplification in vector maps with a graph convolutional neural network30 cited
  • 2023A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints28 cited
  • 2023Using machine learning and data enrichment in the selection of roads for small-scale maps18 cited
  • 2025Deep learning in automatic map generalization: achievements and challenges

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16 cited
  • 2023Integrating domain knowledge and graph convolutional neural networks to support river network selection12 cited
  • 2023Polyline simplification using a region proposal network integrating raster and vector features10 cited
  • 2024Automatic road network selection method considering functional semantic features of roads with graph convolutional networks9 cited
  • 2023DeepMapScaler: a workflow of deep neural networks for the generation of generalised maps9 cited
  • 2023Multiple representations in geospatial databases, the brain’s spatial cells, and deep learning algorithms6 cited
  • 2023PolygonTranslator - learning to simplify building footprints from one scale to another5 cited
  • 2026GeoAI for map generalization in multi-scale cartography: foundations, a research agenda, and interdisciplinary perspectives4 cited