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Retrieving Rain rates from space borne microwave sensors using U-nets

Nicolas Viltard, Pierre Lepetit, Cecile Mallet, Laurent Barthès, Audrey Martini
2020 Proceedings of the 10th International Conference on Climate Informatics  
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

Charles C. Ryerson, George G. Koenig, Andrew L. Reehorst, Forrest R. Scott, Wayne F. Feltz, John J. Murray
2008 Remote Sensing Applications for Aviation Weather Hazard Detection and Decision Support  
Available electronically at 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

Frank S. Marzano, Ermanno Fionda, Piero Ciotti
2006 Journal of Hydrology  
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

J.C. Giampaolo, C.S. Ruf
2001 IEEE Transactions on Geoscience and Remote Sensing  
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:  ... 
doi:10.1109/36.957295 fatcat:coiswgemujdqrdph5bsl45q7vq

Fully Connected Imaging Network for Near-Field Synthetic Aperture Interferometric Radiometer

Zhimin GUO, Jianfei CHEN, Sheng ZHANG
2022 IEICE transactions on information and systems  
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

G. Holl, S. Eliasson, J. Mendrok, S. A. Buehler
2014 Journal of Geophysical Research - Atmospheres  
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

Chih-Chiang Wei, Gene Jiing-Yun You, Li Chen, Chien-Chang Chou, Jinsheng Roan
2015 Journal of Atmospheric and Oceanic Technology  
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

G. Holl, S. A. Buehler, B. Rydberg, C. Jiménez
2010 Atmospheric Measurement Techniques  
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

S. Padmanabhan, S.C. Reising, J. Vivekanandan, F. Iturbide-Sanchez
2009 IEEE Transactions on Geoscience and Remote Sensing  
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  
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

Luca Pulvirenti, Nazzareno Pierdicca, Frank Silvio Marzano
2011 IEEE Transactions on Geoscience and Remote Sensing  
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

Laurent Barthes, Cécile Mallet, Peter Gole
2003 Radio Science  
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

Marie-Laure Frery, Mathilde Siméon, Christophe Goldstein, Pierre Féménias, Franck Borde, Alexandre Houpert, Ana Olea Garcia
2020 Remote Sensing  
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  
., 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

L. Pulvirenti, F.S. Marzano, N. Pierdicca
2007 IEEE Transactions on Geoscience and Remote Sensing  
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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