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1Conference
المؤلفون: Mishra, K. V., R., B. S. M., Ottersten, Björn
المصدر: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Deep Rainrate Estimation from Highly Attenuated Downlink Signals of Ground-Based Communications Satellite Terminals, 9021-9025 (2020-05-14); Deep Rainrate Estimation from Highly Attenuated Downlink Signals of Ground-Based Communications Satellite Terminals, Barcelona, Spain [ES], from 04-05-20 to 08-05-20
مصطلحات موضوعية: atmospheric techniques, convolutional neural nets, meteorological radar, rain, deep rainrate estimation, highly attenuated downlink signals, ground-based communications satellite terminals, densely located ground-based terminals, interactive satellite services, weather sensors, rain-attenuated power, downlink signal, millimeter-wave regime, linear relationship, specific attenuation, weather radar observables, rainfall rate, highly attenuated signals, deep convolutional neural network, signal attenuation, rain gauges, downlink attenuation, rain intensity, appropriate rainfall estimator, severe attenuation, CNN-based downlink rainfall accumulations, nearest C-band German weather service Deutscher Wetterdienst radar, Convolutional neural network, rainfall estimation, satellite communication
Relation: FNR11648950 - Rainfall Estimation Using Signalling Data Of Satellite Communication Network, 2017 (01/07/2017-31/01/2019) - Bhavani Shankar Mysore Rama Rao; https://orbilu.uni.lu/handle/10993/45456; info:hdl:10993/45456; https://orbilu.uni.lu/bitstream/10993/45456/1/09054729_4_deep%20rainrate.pdf