In this study, high‐quality soil moisture data derived from the Soil Moisture Active Passive (SMAP) satellite measurements are evaluated from a perspective of improving the …
IM Nazar, M Aksoy - IEEE Journal of Selected Topics in Applied …, 2023 - ieeexplore.ieee.org
Radio frequency interference (RFI) is a serious threat to the accurate estimation of critical geophysical parameters via passive microwave remote sensing and the presence of RFI in …
S Misra, J Kocz, R Jarnot, ST Brown… - … on Geoscience and …, 2018 - ieeexplore.ieee.org
The demand for microwave spectrum for commercial and industrial use has been increasing rapidly over the last decade, putting stress on the limited spectral resources for passive …
H Rajabi, M Aksoy - IEEE Geoscience and Remote Sensing …, 2019 - ieeexplore.ieee.org
The performance of radio frequency interference (RFI) detection and mitigation algorithms depends on the properties of the RFI signals against which they are used. This letter …
A Perez-Portero, P Fabregat, M Badia… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
The Remote sensing and Interference detector with radiomeTry and vegetation Analysis (RITA) payload is one of the Remote Sensing payloads selected by the 2nd GRSS Student …
IM Nazar, M Aksoy - IGARSS 2023-2023 IEEE International …, 2023 - ieeexplore.ieee.org
Radio frequency interference (RFI) in the measurements of Earth-observing radiometers is increasing over time with the increase in frequency spectrum demand for active services [1] …
In this paper, a machine learning based approach for radio frequency interference (RFI) detection in microwave radiometry is discussed. Features of RFI-free and RFI-contaminated …
For the elimination of radio-frequency interference (RFI) in a passive microwave radiometer, the threshold level is generally calculated from the mean value and standard deviation …