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A Comparative Study of Various Deep Learning Approaches to Shape Encoding of Planar Geospatial Objects
8 references·1 citing·35 second hop
A Comparative Study of Various Deep Learning Approaches to Shape Encoding of Planar Geospatial Objects (2022)A Comparative Study of Various Deep Learn…Representing Vector Geographic Information As a Tensor for Deep Learning Based Map Generalisation (2022)Representing Vector Geographi…Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation (2020)Exploring the Potential of De…Affective Communication of Map Symbols: A Semantic Differential Analysis (2020)Affective Communication of Ma…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…On the spatial distribution of buildings for map generalization (2018)On the spatial distribution o…Template Matching and Simplification Method for Building Features Based on Shape Cognition (2017)Template Matching and Simplif…Shape-adaptive geometric simplification of heterogeneous line datasets (2017)Shape-adaptive geometric simp…A Transformer-Based Approach for Efficient Geometric Feature Extraction from Vector Shape Data (2025)A Transformer-Based Approach …Map Generalization: Making Rules for Knowledge Representation (1991)Line generalisation by repeated elimination of points (1993)Optimization approaches for generalization and data abstraction (2005)Simplification of polylines by segment collapse: minimizing areal displacement while preserving area (2019)Learning from vector data: enhancing vector-based shape encoding and shape classification for map generalization purposes (2023)Deep learning in automatic map generalization: achievements and challenges (2025)GENERALIZATION BASED ON LEAST SQUARES ADJUSTMENT (2000)Quality assessment for building footprints data on OpenStreetMap (2014)A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints (2023)Move and remove: Multi-task learning for building simplification in vector maps with a graph convolutional neural network (2023)Machine learning in cartography (2024)Contextual Building Typification in Automated Map Generalization (2001)Detecting Building Alignments for Generalisation Purposes (2002)A heuristic approach to the generalization of complex building groups in urban villages (2019)Public places urban spaces: the dimensions of urban design (2022)A polygonal buildings aggregation method considering obstacle elements and visual clarity (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)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 circumplex model of affect. (1980)Core affect and the psychological construction of emotion. (2003)Semiotics: The Basics (2003)Influencing brand personality with sonic logos: The role of musical timbre (2023)A decade in scientific cartography: insights and future directions (2025)Integrating Google Maps into geography education: a course evaluation of student achievement, geographical thinking, and map reading skills (2025)Evaluation in the Map Generalisation Process (2007)DeepMapScaler: a workflow of deep neural networks for the generation of generalised maps (2023)Geo-analytical question-answering with GIS (2020)Urban Region Representation Learning with OpenStreetMap Building Footprints (2023)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)
this work references cited by second hop

References

  • 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
  • 2017Template Matching and Simplification Method for Building Features Based on Shape Cognition48 cited
  • 2018On the spatial distribution of buildings for map generalization42 cited
  • 2017Shape-adaptive geometric simplification of heterogeneous line datasets28 cited
  • 2020Affective Communication of Map Symbols: A Semantic Differential Analysis27 cited
  • 2022Representing Vector Geographic Information As a Tensor for Deep Learning Based Map Generalisation18 cited

Cited by

  • 2025A Transformer-Based Approach for Efficient Geometric Feature Extraction from Vector Shape Data3 cited

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