2021 IEEE International Conference on Big Data (Big Data), Journal Year: 2024, Volume and Issue: unknown, P. 3329 - 3332
Published: Dec. 15, 2024
Language: Английский
2021 IEEE International Conference on Big Data (Big Data), Journal Year: 2024, Volume and Issue: unknown, P. 3329 - 3332
Published: Dec. 15, 2024
Language: Английский
Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Citations
0International Journal of Machine Learning and Cybernetics, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 29, 2025
Language: Английский
Citations
0ISPRS International Journal of Geo-Information, Journal Year: 2025, Volume and Issue: 14(4), P. 152 - 152
Published: April 1, 2025
An Earth system spatial grid (ESSG) is an extension of a discrete global (DGGS) in the radial direction. It important tool for organizing, representing, simulating, analyzing, sharing, and visualizing data. The existing ESSGs suffer from complex relationships significant geometric distortion. To mitigate these problems, spherical geodesic degenerate octree (SGDOG) its encoding decoding schemes are proposed this paper. SGDOG extends great circle arc QTM direction adopts different levels at depths. subdivision simple clear, has multi-level characteristics. experimental results demonstrate that advantages relationships, convergent volume distortion, real-time decoding. potential to organize manage data perform large-scale visual analysis system.
Language: Английский
Citations
02021 IEEE International Conference on Big Data (Big Data), Journal Year: 2024, Volume and Issue: unknown, P. 3329 - 3332
Published: Dec. 15, 2024
Language: Английский
Citations
0