SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A feasibility study of applying generative deep learning models for map labeling
15 references·0 citing·28 second hop
A feasibility study of applying generative deep learning models for map labeling (2024)A feasibility study of applying generativ…Label Placement Challenges in City Wayfinding Map Production—Identification and Possible Solutions (2022)Label Placement Challenges in…Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation (2020)Exploring the Potential of De…AUTOMATIC LABEL PLACEMENT OF AREA-FEATURES USING DEEP LEARNING (2020)AUTOMATIC LABEL PLACEMENT OF …Using artificial neural network for labelling polygon features in topographic maps (2019)Using artificial neural netwo…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…Improving label placement quality by considering basemap detail with a raster-based approach (2014)Improving label placement qua…A Comprehensive Multi-criteria Model for High Cartographic Quality Point-Feature Label Placement (2014)A Comprehensive Multi-criteri…Automation and the Map Label Placement Problem: A Comparison of Two GIS Implementations of Label Placement (2008)Automation and the Map Label …Towards an evaluation of quality for names placement methods (2002)Towards an evaluation of qual…A Descriptive and Illustrated Guide for Type Placement on Small Scale Maps (2000)A Descriptive and Illustrated…Line generalisation by repeated elimination of points (1993)Line generalisation by repeat…An expert system for the automatic placement of names on a geographic map (1988)An expert system for the auto…Positioning Names on Maps (1975)Positioning Names on MapsThe Logic of Automated Map Lettering (1972)The Logic of Automated Map Le…Elements of Cartography (1953)Citizens as sensors: the world of volunteered geography (2007)OpenStreetMap: User-Generated Street Maps (2008)Automatic derivation of on-demand tactile maps for visually impaired people: first experiments and research agenda (2018)Machine learning in cartography (2024)Cartography: Thematic Map Design (1990)Making a Pictorial and Verbal Travel Trace from a GPS Trace (2012)Cartographic Design and Processing of Originally Printed Historical Maps for Their Presentation on the Web (2023)Methodology for evaluating automated map generalization in commercial software (2009)A Road Network Selection Process Based on Data Enrichment and Structure Detection (2010)Geospatial Artificial Intelligence (GeoAI) (2021)Deriving map images of generalised mountain roads with generative adversarial networks (2022)Optimization approaches for generalization and data abstraction (2005)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)Generalization of spatial data: Principles and selected algorithms (1997)Integration of cartographic generalization and multi-scale databases for enhanced web mapping (2003)Performance Evaluation of Line Simplification Algorithms for Vector Generalization (2006)Expert Systems in Cartographic Design (1991)Automatic generation of tourist maps (2008)A typology of operators for maintaining legible map designs at multiple scales (2011)A Quantitative Similarity Measure for Maps (2006)Segmentation and sampling method for complex polyline generalization based on a generative adversarial network (2021)Constraint-Based Evaluation of Map Images Generalized by Deep Learning (2022)Multiple representations in geospatial databases, the brain’s spatial cells, and deep learning algorithms (2023)Pragmatic GeoAI: Geographic Information as Externalized Practice (2023)Automated Map Generalization: Emerging Techniques and New Trends (Editorial) (2024)
this work references cited by second hop

References

  • 1993Line generalisation by repeated elimination of points324 cited
  • 1975Positioning Names on Maps284 cited
  • 1972The Logic of Automated Map Lettering136 cited
  • 2019Learning Cartographic Building Generalization with Deep Convolutional Neural Networks107 cited
  • 2019Is deep learning the new agent for map generalization?81 cited
  • 2020Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation59 cited
  • 2002Towards an evaluation of quality for names placement methods43 cited
  • 2014A Comprehensive Multi-criteria Model for High Cartographic Quality Point-Feature Label Placement33 cited
  • 2022Label Placement Challenges in City Wayfinding Map Production—Identification and Possible Solutions23 cited
  • 2008Automation and the Map Label Placement Problem: A Comparison of Two GIS Implementations of Label Placement22 cited
  • 2000A Descriptive and Illustrated Guide for Type Placement on Small Scale Maps22 cited
  • 2014Improving label placement quality by considering basemap detail with a raster-based approach18 cited
  • 1988An expert system for the automatic placement of names on a geographic map17 cited
  • 2020AUTOMATIC LABEL PLACEMENT OF AREA-FEATURES USING DEEP LEARNING16 cited
  • 2019

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Using artificial neural network for labelling polygon features in topographic maps
15 cited

Cited by

No citing works inside the corpus for this window.