Results 41 to 50 of about 1,235,553 (221)
Fast matrix inversion and determinant computation for Polarimetric Synthetic Aperture Radar [PDF]
Computers & Geosciences, 2018 7 pages, 1 ...
Diego F. G. Coelho +3 more
openaire +4 more sources
Vertical Resolution Enhancement by Applying Polarimetric Spectral Analysis Techniques to Multibaseline InSAR Data [PDF]
, 2012 Polarimetric spectral analysis techniques have been recently introduced for processing multibaseline interferometric synthetic aperture radar data that are affected by the speckle phenomenon.
Kostas Papathanassiou +3 more
core +1 more source
PCCN: Polarimetric Contexture Convolutional Network for PolSAR Image Super-Resolution
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPolarimetric synthetic aperture radar (PolSAR) can acquire full-polarization information, which is the solid foundation for target scattering mechanism interpretation and utilization. Meanwhile, PolSAR image resolution is usually lower than the synthetic
Lin-Yu Dai, Ming-Dian Li, Si-Wei Chen
doaj +1 more source
Polarimetric Synthetic Aperture Radar data for Crop Cover Classification [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 The interest in crop inventory through the use of microwave sensors is on the rise owing to need for accurate crop forecast and the availability of multi polarization data.
K. V. Ramana +3 more
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Synthetic aperture sonar imaging using compressive sensing and an ultrasound transducer array [PDF]
, 2013 Includes bibliographical references.Compressive sensing (CS) also known as compressive sampling is a technique used to reconstruct or recover the full-length of a signal with only a few non-adaptive measurements.
Jideani, Josiah Chimnanu
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G0-WISHART DISTRIBUTION BASED CLASSIFICATION FROM POLARIMETRIC SAR IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Enormous scientific and technical developments have been carried out to further improve the remote sensing for decades, particularly Polarimetric Synthetic Aperture Radar(PolSAR) technique, so classification method based on PolSAR images has getted much
G. C. Hu, Q. H. Zhao
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Remote Sensing, 2022 During unexpected earthquake catastrophes, timely identification of damaged areas is critical for disaster management. On the 24 March 2021, Baicheng county was afflicted by a Mw 5.3 earthquake.
Xiaolin Sun +6 more
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Earth and Space Science, Volume 13, Issue 8, August 2026.Abstract Snow on Antarctic sea ice modulates albedo, thermodynamic growth, and snow–ice formation, yet remains a leading uncertainty in altimetry‐derived sea‐ice thickness. Here we use the post‐2022 CRYO2ICE configuration to derive along‐track winter snow thickness from ICESat‐2 laser and CryoSat‐2 Ku‐band radar freeboards over the Weddell and Ross ...
Xinlong Liu +4 more
wiley +1 more source
C-SAR/02 Satellite Polarimetric Calibration and Validation Based on Active Radar Calibrators
Remote SensingQuad-polarization synthetic aperture radar (SAR) satellites are important detection tools in Earth observation and remote sensing; in particular, they are of great significance for accurately interpreting radar data and inverting geophysical parameters ...
Yanan Jiao +4 more
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Sensors, 2016 Fully polarimetric Synthetic Aperture Radar (polSAR) data analysis has wide applications for terrain and ground cover classification. The dynamics of surface and subsurface water events can lead to slope instability resulting in slough slides on earthen ...
Ramakalavathi Marapareddy +2 more
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