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An intelligent simplification method for river networks with an unsupervised variational autoencoder
16 references·0 citing·29 second hop
An intelligent simplification method for river networks with an unsupervised variational autoencoder (2025)An intelligent simplification method for …Polyline simplification based on the artificial neural network with constraints of generalization knowledge (2022)Polyline simplification based…Deriving map images of generalised mountain roads with generative adversarial networks (2022)Deriving map images of genera…Data‐driven polyline simplification using a stacked autoencoder‐based deep neural network (2022)Data‐driven polyline simplifi…Segmentation and sampling method for complex polyline generalization based on a generative adversarial network (2021)Segmentation and sampling met…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…BUILDING GENERALIZATION USING DEEP LEARNING (2018)BUILDING GENERALIZATION USING…A New Approach to Line Simplification Based on Image Processing: A Case Study of Water Area Boundaries (2018)A New Approach to Line Simpli…Trust Me, I’m a Cartographer: Post-truth and the Problem of Acritical Cartography (2017)Trust Me, I’m a Cartographer:…Improving settlement selection for small-scale maps using data enrichment and machine learning (2017)Improving settlement selectio…Envelope generation and simplification of polylines using Delaunay triangulation (2016)Envelope generation and simpl…A Simplification of Ria Coastline with Geomorphologic Characteristics Preserved (2014)A Simplification of Ria Coast…Hybrid line simplification for cartographic generalization (2011)Hybrid line simplification fo…Line Generalization Based on Analysis of Shape Characteristics (1998)Line Generalization Based on …Line generalisation by repeated elimination of points (1993)Line generalisation by repeat…Algorithms for automated line generalization1based on a natural principle of objective generalization (1992)Algorithms for automated line…A Statistical Analysis of Mathematical Measures for Linear Simplification (1986)Automated Line Generalization (1987)The National Science Foundation National Center for Geographic Information and Analysis (1987)Selective omission of road features based on mesh density for automatic map generalization (2009)Citizens as sensors: the world of volunteered geography (2007)Template Matching and Simplification Method for Building Features Based on Shape Cognition (2017)A polygon aggregation method with global feature preservation using superpixel segmentation (2019)What Is History (1961)Cartography: Thematic Map Design (1990)Education in a post-truth world (2017)Elements of viral cartography (2018)Trustworthy maps (2020)Optimization approaches for generalization and data abstraction (2005)Continuous Generalization for Visualization on Small Mobile Devices (2006)Generalisation of Geographic Information: Cartographic Modelling and Applications (2007)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)Learning Cartographic Building Generalization with Deep Convolutional Neural Networks (2019)Constraint-Based Evaluation of Map Images Generalized by Deep Learning (2022)Assuring the quality of volunteered geographic information (2012)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)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)Simultaneous Graphic Generalization of Vector Data Sets (2002)A multi-resolution model of vector map data for rapid transmission over the Internet (2005)Machine learning in cartography (2024)
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References

  • 1993Line generalisation by repeated elimination of points324 cited
  • 1992Algorithms for automated line generalization1based on a natural principle of objective generalization149 cited
  • 1998Line Generalization Based on Analysis of Shape Characteristics140 cited
  • 2019Is deep learning the new agent for map generalization?81 cited
  • 2016Envelope generation and simplification of polylines using Delaunay triangulation69 cited
  • 2020Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation59 cited
  • 2018BUILDING GENERALIZATION USING DEEP LEARNING53 cited
  • 2022Deriving map images of generalised mountain roads with generative adversarial networks43 cited
  • 2017Trust Me, I’m a Cartographer: Post-truth and the Problem of Acritical Cartography42 cited
  • 2021Segmentation and sampling method for complex polyline generalization based on a generative adversarial network39 cited
  • 2011Hybrid line simplification for cartographic generalization39 cited
  • 2022Data‐driven polyline simplification using a stacked autoencoder‐based deep neural network34 cited
  • 2014A Simplification of Ria Coastline with Geomorphologic Characteristics Preserved33 cited
  • 2017Improving settlement selection for small-scale maps using data enrichment and machine learning31 cited

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  • 2018A New Approach to Line Simplification Based on Image Processing: A Case Study of Water Area Boundaries29 cited
  • 2022Polyline simplification based on the artificial neural network with constraints of generalization knowledge29 cited
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