Name
Abstract | ||
|---|---|---|
Commercial wireless microwave links have been recently proven to be an effective tool for precipitation monitoring, mainly for accurate rainfall estimation and high-resolution rainfall mapping. This paper focuses on the challenge of precipitation classification from the measurements of received signal level (RSL) in several commercial wireless microwave links, by suggesting a tree of classification based on the physical features that distinguish between different phenomena. Wet periods are first identified, followed by a classification of the wet periods into pure rain or sleet. The classification is based on the kernel Fisher discriminant analysis, followed by a decision-making process. The suggested procedure is tested on real data, and its performance is evaluated. It is shown that the proposed classification is in very good agreement (85%) with that of a special-purpose meteorological device called disdrometer. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TGRS.2013.2259832 | Geoscience and Remote Sensing, IEEE Transactions |
Keywords | Field | DocType |
atmospheric electromagnetic wave propagation,atmospheric optics,atmospheric precipitation,atmospheric techniques,decision trees,geophysical signal processing,meteorology,microwave links,microwave measurement,rain,signal classification,RSL,classification tree,commercial microwave link measurements,commercial wireless microwave links,decision making process,disdrometer,high resolution rainfall mapping,kernel Fisher discriminant analysis,precipitation classification,precipitation monitoring,pure rain,rainfall estimation,received signal level,sleet,Environmental monitoring,kernel Fisher discriminant,received signal level measurements,wireless distributed sensor network (WDSN) | Atmospheric optics,Meteorology,Decision tree,Microwave,Wireless,Remote sensing,Kernel Fisher discriminant analysis,Disdrometer,Mathematics,Environmental monitoring,Precipitation | Journal |
Volume | Issue | ISSN |
52 | 5 | 0196-2892 |
Citations | PageRank | References |
6 | 0.65 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dani Cherkassky | 1 | 29 | 3.89 |
| Jonatan Ostrometzky | 2 | 21 | 5.52 |
| Hagit Messer | 3 | 100 | 22.23 |