Radio Frequency Interference Detection for SMAP Radiometer Using Convolutional Neural Networks
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, and Information Processing and Sensing Lab, Mississippi State University, Mississippi State, MS, USA
Funder
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
https://ieeexplore.ieee.org/ielam/4609443/9656571/9954900-aam.pdf
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