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Cited by

• 2019Learning Cartographic Building Generalization with Deep Convolutional Neural Networks107 cited
• 2009Methodology for evaluating automated map generalization in commercial software84 cited
• 2007Automatic identification of urban settlement boundaries for multiple representation databases62 cited
• 2013Scaling of Geographic Space as a Universal Rule for Map Generalization61 cited
• 2009Feature pruning by upstream drainage area to support automated generalization of the United States National Hydrography Dataset61 cited
• 2009An evaluation of measures for quantifying map information58 cited
• 2011A typology of operators for maintaining legible map designs at multiple scales55 cited
• 2018BUILDING GENERALIZATION USING DEEP LEARNING53 cited
• 2011A GIS data model for landmark-based pedestrian navigation50 cited
• 2014Integrating and Generalising Volunteered Geographic Information49 cited
• 2012Exploiting empirical knowledge for automatic delineation of city centres from large-scale topographic databases48 cited
• 2009Specifying Map Requirements for Automated Generalization of Topographic Data44 cited
• 2010Challenges for Automated Generalisation at European Mapping Agencies: A Qualitative and Quantitative Analysis39 cited