Title | ||
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An Approach to the Generation and Analysis of Databases of Simulated Radar Sounder Data for Performance Prediction and Target Interpretation |
Abstract | ||
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Radar sounders (RSs) are low-frequency instruments that profile the shallow subsurface of planetary targets to obtain valuable scientific information. The prediction of the RS performance and the interpretation of the target properties from the RS data are challenging due to the complex electromagnetic interaction among many acquisition variables. Simulation of RS data can address this issue by mo... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TGRS.2021.3052376 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Radar,Databases,Moon,Computational modeling,Solid modeling,Instruments,Clutter | Journal | 59 |
Issue | ISSN | Citations |
10 | 0196-2892 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sanchari Thakur | 1 | 0 | 2.37 |
Lorenzo Bruzzone | 2 | 4952 | 387.72 |