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Retrieving Rain rates from space borne microwave sensors using U-nets
2020
Proceedings of the 10th International Conference on Climate Informatics
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The brightness temperature measurements in the different channels can be treated as channels of a classical RGB image and the rain field seen by the radar can be considered as the target image to be retrieved ...
Most of the preceding NN algorithms are based on fully connected neural network. ...
doi:10.1145/3429309.3429314
fatcat:36ednt3ss5f4jiwqe5fit4x45m
Concept, simulation, and instrumentation for radiometric inflight icing detection
2008
Remote Sensing Applications for Aviation Weather Hazard Detection and Decision Support
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Available electronically at http://gltrs.grc.nasa.gov Level of Review: This material has been technically reviewed by technical management. ...
Acknowledgments This research is in response to requirements and funding by NASA and the Army Corps of Engineers ...
Figure 4 shows the relationship between measured and predicted ICLW using the neural network model. ...
doi:10.1117/12.794070
fatcat:hl3hmrdwpbgcvlyolt67hjglj4
Neural-network approach to ground-based passive microwave estimation of precipitation intensity and extinction
2006
Journal of Hydrology
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A new inversion methodology, based on an artificial neural-network feed-forward algorithm, is evaluated and compared against a previously developed regression technique. ...
Both retrieval techniques are trained by numerical simulations of a radiative transfer model applied to microphysically-consistent precipitating cloud structures. ...
This work has been partially supported by the Italian Space Agency (ASI), Ministry of Education and Research (MIUR) and by the GNDCI-CNR project. Dr. A. Martellucci (ESA, NL) and Mr. F. ...
doi:10.1016/j.jhydrol.2005.11.042
fatcat:gk42idf2dzh3zcj3ncsdvfwcm4
The effect of atmospheric stability on microwave excess emissivity due to wind
2001
IEEE Transactions on Geoscience and Remote Sensing
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The sensitivity of emissivity to wind speed is found to depend strongly on the air-sea temperature difference. ...
The excess microwave emissivity of the ocean surface due to winds at nadir incidence is derived from the TOPEX microwave radiometer and altimeter together with ocean surface data. ...
Laboratory, Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD 21250 USA (e-mail: cchang@umbc.edu). ...
doi:10.1109/36.957295
fatcat:coiswgemujdqrdph5bsl45q7vq
Fully Connected Imaging Network for Near-Field Synthetic Aperture Interferometric Radiometer
2022
IEICE transactions on information and systems
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To achieve better imaging results, a new fully connected imaging network (FCIN) is proposed for near-field SAIR. ...
However due to the existence of interference factor and complex near-field error, the imaging effect of nearfield SAIR is usually not ideal. ...
The brightness temperature distribution of the target scene are shown in Fig. 5 (a) and Fig. 6 (a) . ...
doi:10.1587/transinf.2021edl8105
fatcat:3sgdzcrklba2dpfkgbe7p5ia4i
SPARE-ICE: Synergistic ice water path from passive operational sensors
2014
Journal of Geophysical Research - Atmospheres
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With this retrieval database, we train a pair of artificial neural networks to detect clouds and retrieve IWP. ...
A comparison of SPARE-ICE with Moderate Resolution Imaging Spectroradiometer (MODIS), Pathfinder Atmospheric Extended (PATMOS-X), and Microwave Surface and Precipitation Products System (MSPPS) indicates ...
Acknowledgments Thanks to the Swedish Vetenskapsrådet for financing the PhD position of the first author. Thanks to the CloudSat team for making available the CPR 2C-ICE product. ...
doi:10.1002/2013jd020759
fatcat:lcy2c6xaafep3n6pd5siycr2jm
Diagnosing Rain Occurrences Using Passive Microwave Imagery: A Comparative Study on Probabilistic Graphical Models and "Black Box" Models
2015
Journal of Atmospheric and Oceanic Technology
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By contrast, probabilistic graphical models can explicitly reveal the causal relationship between brightness temperatures and nonrain/rain discrimination. ...
Because the advantage of a probabilistic graphical model is its graphical representation, which allows easy causality interpretation using the arc directions, two Bayesian networks (BNs) were used, namely ...
The support under Grant MOST104-2111-M-019-001 by the Ministry of Science and Technology, Taiwan, is greatly appreciated. ...
doi:10.1175/jtech-d-14-00164.1
fatcat:usvw3kws35fmvewv6ee4a2sple
Collocating satellite-based radar and radiometer measurements – methodology and usage examples
2010
Atmospheric Measurement Techniques
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We find a larger variability in the collocated dataset. Finally, we use the collocations to train an Artificial Neural Network and describe how we can use it to develop a new MHS-based IWP product. ...
Secondly, we compare the relation between IWP and MHS channel 5 (190.311 GHz) brightness temperature for two datasets: the collocated dataset, and an artificial dataset. ...
The bulk of the work was carried out as part of the Master's Thesis by first author Gerrit Holl. Thanks to the Spacemaster education programme for making this possible. ...
doi:10.5194/amt-3-693-2010
fatcat:nqz7tya7inezllhvcukflekr7a
Retrieval of Atmospheric Water Vapor Density With Fine Spatial Resolution Using Three-Dimensional Tomographic Inversion of Microwave Brightness Temperatures Measured by a Network of Scanning Compact Radiometers
2009
IEEE Transactions on Geoscience and Remote Sensing
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Three-dimensional water vapor fields can be retrieved with improved spatial coverage from measurements obtained using a network of scanning microwave radiometers. ...
A ground-based demonstration network of three compact microwave radiometers was deployed at the Atmospheric Radiation Measurement Southern Great Plains site in Oklahoma. ...
Sahoo for their support of the deployment of the threeradiometer network in Oklahoma. The authors would also like to thank Prof. R. ...
doi:10.1109/tgrs.2009.2031107
fatcat:novuq5vudzfird4kdaatx5gn2i
2021 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 14
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
., +, JSTARS 2021 9089-9105 Brightness temperature Thermal Vacuum Cold Target for the Metop SG MicroWave Imager. ...
., +, JSTARS 2021 6906-6915 Seismic Microwave Brightness Temperature Anomaly Detection Using Multitemporal Passive Microwave Satellite Images: Ideas and Limits. ...
doi:10.1109/jstars.2022.3143012
fatcat:dnetkulbyvdyne7zxlblmek2qy
Prediction of the Error Induced by Topography in Satellite Microwave Radiometric Observations
2011
IEEE Transactions on Geoscience and Remote Sensing
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A numerical simulator of satellite microwave radiometric observations of mountainous scenes, developed in a previous study, has been used to predict the relief effects on the measurements of a spaceborne ...
Both a regression analysis and a neural-network approach have been applied to estimate the error as a function of the parameters representing the relief, using the simulator to build training and test ...
A regression analysis and a neural-network approach have been used to estimate this error as a function of the parameters representing the relief, yielding encouraging results. ...
doi:10.1109/tgrs.2010.2096514
fatcat:tbi37ibfg5appbeb6flibrtr7q
Neural network model for atmospheric attenuation retrieval between 20 and 50 GHz by means of dual-frequency microwave radiometers
2003
Radio Science
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Gole, Neural network model for atmospheric attenuation retrieval between 20 and 50 GHz by means of dual-frequency microwave radiometers, ...
In the band of frequencies used by operators in the future generation of satellites (beyond 20 GHz), the quality of transmission is especially affected by the attenuation of received signals because of ...
a measure of the mismatch between target values and predicted values. ...
doi:10.1029/2002rs002813
fatcat:qcyfzjqmsrebfp3s7m4jxci4eq
Sentinel-3 Microwave Radiometers: Instrument Description, Calibration and Geophysical Products Performances
2020
Remote Sensing
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Finally performances are assessed at crossover points with two parameters, first the wet troposphere correction by comparison with Jason-3; secondly on the Sea Surface Height by difference of variance. ...
Copernicus Sentinel-3 Surface Topography Mission embarks a two-channel microwave radiometer combined with the altimeter in order to correct the altimeter range for the excess path delay resulting from ...
Geophysical Products Performances
A Neural Network Retrieval Approach The retrieval approach used for Sentinel-3 is based on a neural network architecture. ...
doi:10.3390/rs12162590
fatcat:u5fq5rurojbavmpktwfgb7a5m4
2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57
2019
IEEE Transactions on Geoscience and Remote Sensing
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., Insect Biological Parameter Estimation Based on the Invariant Target Parameters of the Scattering Matrix; TGRS Aug. 2019 6212-6225 Hu, C., see Zhang, M., TGRS Sept. 2019 6666-6674 Hu, C., Zhang, ...
Incorporating Temporary Coherent Li, X., Yeo, T.S., Yang, Y., Chi, C., Zuo, F., Hu, X., and Pi, Y., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging on Arbitrary Region of ...
., +, TGRS Nov. 2019 8333-8349
FaultNet3D: Predicting Fault Probabilities, Strikes, and Dips With a Single
Convolutional Neural Network. ...
doi:10.1109/tgrs.2020.2967201
fatcat:kpfxoidv5bgcfo36zfsnxe4aj4
Modeling Microwave Fully Polarimetric Passive Observations of the Sea Surface: A Neural Network Approach
2007
IEEE Transactions on Geoscience and Remote Sensing
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To tackle this problem, a neural network (NN) technique is proposed in this paper. ...
Index Terms-Microwave radiometry, neural network (NN), polarimetry, satellite passive remote sensing, scattering model, sea surface. ...
Therefore, the brightness temperature vector at the sea surface (i.e., at the bottom of the atmosphere, BOA) T BOA in a direction θ, ϕ is due to the incoherent summation of the brightness temperature of ...
doi:10.1109/tgrs.2007.897447
fatcat:nfxo7e5wlbftzlrnmnw65e7bta
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