SMAP Radiometer RFI Prediction with Deep Learning using Antenna Counts
Author:
Affiliation:
1. Mississippi State University,Mississippi State,MS,USA
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884010.pdf?arnumber=9884010
Reference12 articles.
1. SMAP L-Band Microwave Radiometer: RFI Mitigation Prelaunch Analysis and First Year On-Orbit Observations
2. Airborne L-band RFI observations in the smapvex08 campaign with the L-band interference suppressing radiometer
3. Stokes Antenna Temperatures
4. Limits of Transfer Learning
5. Investigating the impact of data normalization on classification performance
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