Name
Abstract | ||
|---|---|---|
This paper describes a method and system for integrating ma- chine learning with planning and data visualization for the management of mobile sensors for Earth science investiga- tions. Data mining identifies discrepancies between previo us observations and predictions made by Earth science models. Locations of these discrepancies become interesting targets for future observations. Such targets become goals used by a flight planner to generate the observation activities. The c ycle of observation, data analysis and planning is repeated contin- uously throughout a multi-week Earth science investigation. |
Year | Venue | Keywords |
|---|---|---|
2008 | AAAI | earth science investigation,data mining,data analysis,observation activity,data visualization,earth observation flight planning,previous observation,future observation,earth science model,flight planner,multi-week earth science investigation,earth observation |
Field | DocType | Citations |
Data mining,Data visualization,Computer science,Flight planning,Flight planner,Earth observation | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert A. Morris | 1 | 0 | 0.34 |
| nikunj c oza | 2 | 694 | 54.32 |
| Leslie Keely | 3 | 2 | 1.33 |
| Elif Kürklü | 4 | 18 | 2.97 |
| Anthony Strawa | 5 | 0 | 0.34 |