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Yu et al., 2022 - Google Patents

Filling gaps of cartographic polylines by using an encoder–decoder model

Yu et al., 2022

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Document ID
15643510628915638105
Author
Yu W
Chen Y
Publication year
Publication venue
International Journal of Geographical Information Science

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Snippet

Geospatial studies must address spatial data quality, especially in data-driven research. An essential concern is how to fill spatial data gaps (missing data), such as for cartographic polylines. Recent advances in deep learning have shown promise in filling holes in images …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06T11/20Drawing from basic elements, e.g. lines or circles
    • G06T11/206Drawing of charts or graphs
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    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
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