TY - JOUR
T1 - Precipitation classification using measurements from commercial microwave links
AU - Cherkassky, Dani
AU - Ostrometzky, Jonatan
AU - Messer, Hagit
PY - 2014/5
Y1 - 2014/5
N2 - 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.
AB - 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.
KW - Environmental monitoring
KW - kernel Fisher discriminant
KW - received signal level measurements
KW - wireless distributed sensor network (WDSN)
UR - http://www.scopus.com/inward/record.url?scp=84896319827&partnerID=8YFLogxK
U2 - 10.1109/TGRS.2013.2259832
DO - 10.1109/TGRS.2013.2259832
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AN - SCOPUS:84896319827
SN - 0196-2892
VL - 52
SP - 2350
EP - 2356
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
IS - 5
M1 - 6524051
ER -