Enhancing the Recognition of Collinear Building Patterns by Shape Cognition Based on Graph Neural Ne...
Enhancing the Recognition of Collinear Building Patterns by Shape Cognition Based on Graph Neural Networks
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Publisher
Philadelphia: Taylor & Francis
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Language
English
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Philadelphia: Taylor & Francis
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Contents
Building patterns are important components of urban structures and functions, and their accurate recognition is the foundation of urban spatial analysis, cartographic generalization, and other tasks. Current building pattern recognition methods are often based on a shape index that can only characterize shape features from one aspect, resulting in...
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Full title
Enhancing the Recognition of Collinear Building Patterns by Shape Cognition Based on Graph Neural Networks
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TN_cdi_crossref_primary_10_1080_08839514_2024_2439611
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1080_08839514_2024_2439611
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ISSN
0883-9514
E-ISSN
1087-6545
DOI
10.1080/08839514.2024.2439611
