Assessing global surface water inundation dynamics using combined satellite information from SMAP, AMSR2 and Landsat

J Du, JS Kimball, J Galantowicz, SB Kim… - Remote sensing of …, 2018 - Elsevier
A method to assess global land surface water (fw) inundation dynamics was developed by
exploiting the enhanced fw sensitivity of L-band (1.4 GHz) passive microwave observations …

Assessment of SMAP soil moisture for global simulation of gross primary production

L He, JM Chen, J Liu, S Bélair… - Journal of Geophysical …, 2017 - Wiley Online Library
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 …

Radio Frequency Interference Detection in Passive Microwave Remote Sensing Using One-Class Support Vector Machines

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 …

Development of an on-board wide-band processor for radio frequency interference detection and filtering

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 …

Characteristics of the L-band radio frequency interference environment based on SMAP radiometer observations

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 …

RITA: A 1U multi-sensor payload for the GRSSSAT contributing soil moisture, vegetation analysis and RFI detection

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 …

Radio Frequency Interference Detection in Microwave Radiometry Using Multi–Dimensional Semi Supervised Learning

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] …

[PDF][PDF] Radio frequency interference detection in microwave radiometry using support vector machines

IM Nazar, M Aksoy - Radio Science Letters, 2020 - ursi.org
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 …

[PDF][PDF] 一种L 波段相控阵微波辐射计射频干扰检测算法

李浩, 卢海梁, 余锐, 吕容川, 李一楠, 王佳坤, 苗俊刚 - 电子与信息学报, 2019 - jeit.ac.cn
目前, 微波辐射计均面临严重的射频干扰(RFI) 问题, 尤其在低频段. 针对一种用于获取海洋盐度
和土壤湿度的L 波段相控阵微波辐射计, 该文提出一种射频干扰检测算法. 首先, 简单介绍了该L …

Statistical approach to spectrogram analysis for radio-frequency interference detection and mitigation in an l-band microwave radiometer

M Oh, YH Kim - Sensors, 2019 - mdpi.com
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 …