Name
Abstract | ||
|---|---|---|
This paper introduces three interpolation methods that enrich complex evolving region trajectories that are captured every day from numerous ground-based and space-based solar observatories. The interpolation module takes a trajectory as its input and generates an enriched trajectory with interpolated time-geometry pairs. we created three different interpolation techniques that are: MBR-Interpolation (Minimum Bounding Rectangle Interpolation), CP-Interpolation (Complex Polygon Interpolation), and FP-Interpolation (Filament Polygon Interpolation). The methods combine K-means clustering algorithm, shape signature representation, and linear interpolation to generate the missing polygons. This is the first research of this kind that attempts to address the problem of solar big data interpolation. Finally, we outline future improvements and opportunities for solar data interpolation |
Year | Venue | Keywords |
|---|---|---|
2016 | 2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | Spatio-temporal interpolation, Evolving region trajectories, Time-geometry pairs signatures |
Field | DocType | Citations |
Data mining,Nearest-neighbor interpolation,Interpolation (computer graphics),Multivariate interpolation,Computer science,Interpolation,Stairstep interpolation,Linear interpolation,Trilinear interpolation,Bilinear interpolation | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soukaina Filali Boubrahimi | 1 | 1 | 6.10 |
| Berkay Aydin | 2 | 40 | 10.75 |
| dustin kempton | 3 | 12 | 6.54 |
| Rafal A. Angryk | 4 | 271 | 45.56 |