Results 91 to 100 of about 16,272 (256)

A Method for Estimating the Polarimetric Scattering Matrix of Moving Target for Simultaneous Fully Polarimetric Radar

open access: yesSensors, 2018
To precisely obtain the polarimetric scattering matrix (PSM) of moving target, a measurement model for the simultaneous fully polarimetric radar is formulated. The calibration errors and isolation of the transmitted waveforms are considered.
Fulai Wang   +4 more
doaj   +1 more source

PAGaN I: Multi-Frequency Polarimetry of AGN Jets with KVN

open access: yes, 2015
Active Galactic Nuclei (AGN) with bright radio jets offer the opportunity to study the structure of and physical conditions in relativistic outflows. For such studies, multi-frequency polarimetric very long baseline interferometric (VLBI) observations ...
Kim, Daewon   +7 more
core   +1 more source

SMAP Satellite Microwave Radiometry to Monitor River Flow and Lake Level in the Lower Mekong Basin

open access: yesEarth and Space Science, Volume 13, Issue 1, January 2026.
Abstract The NASA Soil Moisture Active Passive Mission (SMAP) satellite passive microwave radiometry (PMR) capability is demonstrated for measurements of river stage, river discharge, and lake level with in situ gauging data in the Lower Mekong Basin (LMB).
A. Podkowa   +3 more
wiley   +1 more source

Optical polarization observations with the MASTER robotic net [PDF]

open access: yes, 2014
We present results of optical polarization observations performed with the MASTER robotic net for three types of objects: gamma-ray bursts, supernovae, and blazars.
Balanutsa, P. V.   +19 more
core   +1 more source

High‐Fidelity 3D Reconstruction From Sparse Multi‐Baseline CSAR Data via Conditional Diffusion Models

open access: yesIET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This work proposes a conditional diffusion model framework for high‐fidelity 3D reconstruction from sparse multibaseline circular synthetic aperture radar (CSAR) data, addressing challenges of low vertical resolution, geometric blur and artefacts. The method integrates a dual‐path 3D U‐Net with cross‐attention to fuse coarse reconstruction features ...
Xingyu Zhao   +4 more
wiley   +1 more source

Polarimetry and photometry of the peculiar main-belt object 7968 = 133P/Elst-Pizarro

open access: yes, 2010
133P/Elst-Pizarro is an object that has been described as either an active asteroid or a cometary object in the main asteroid belt. Here we present a photometric and polarimetric study of this object in an attempt to infer additional information about ...
Bagnulo   +34 more
core   +1 more source

Learning to Optimise FISTA‐PnP for Sparse Radar Imaging

open access: yesIET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This work presents a plug‐and‐play (PnP) framework for sparse radar imaging that combines FISTA with reinforcement learning (RL)‐based parameter adaptation, achieving faster convergence and eliminating manual parameter tuning. Extensive experiments show the framework outperforms classical methods and recent optimisation networks, providing high‐quality
Yao Zhao   +7 more
wiley   +1 more source

Polarimetric Channel Imbalance Evaluation of GF-3 SAR Products by Bragg-Like Targets

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Polarimetric calibration is crucial to ensure the accuracy and reliability of subsequent application results. Since Gaofen-3(GF-3) has been providing polarimetric Synthetic Aperture Radar images for six years, it is necessary to monitor the polarimetric ...
Hanglan Guo   +3 more
doaj   +1 more source

Polarimetric calibration of a spectro-polarimeter for remote sensing and characterization of aerosols [PDF]

open access: bronze, 2021
Martijn Smit   +7 more
openalex   +1 more source

Validating Machine Learning Retrievals of the Cloud‐Top Droplet Effective Radius Over Oceans That Account for 3D Radiative Transfer Effects

open access: yesJournal of Geophysical Research: Atmospheres, Volume 130, Issue 23, 16 December 2025.
Abstract Bispectral retrievals of the droplet effective radius (re) from instruments such as MODIS are widely utilized to study cloud microphysics in marine boundary layer clouds. These retrievals are known to have systematic errors due to cloud heterogeneity. Here, we develop a neural network regression to retrieve cloud‐top re at a solar zenith angle
J. R. Loveridge, D. Fu, L. Di Girolamo
wiley   +1 more source

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