Yu et al., 2022 - Google Patents
Filling gaps of cartographic polylines by using an encoder–decoder modelYu et al., 2022
View PDF- Document ID
- 15643510628915638105
- Author
- Yu W
- Chen Y
- Publication year
- Publication venue
- International Journal of Geographical Information Science
External Links
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 …
- 238000011049 filling 0 title abstract description 66
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