Results 41 to 50 of about 621 (141)
IEEE Access, 2018 Numerous radar polarimetry theories and polarimetric synthetic aperture radar (PolSAR) processing methods have been developed. However, the vast majority of SAR images are not fully polarimetric (full-pol).
Qian Song, Feng Xu, Ya-Qiu Jin
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IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.This paper presents a multistatic, frequency‐ and polarimetry‐adaptive autofocus algorithm (F‐Pol) for SAR imaging of moving targets undergoing complex, six‐degrees‐of‐freedom (6‐DoF) motion. Building on Localised Threshold Sharpness (LTS), the method exploits agreement across frequency sub‐bands and polarisation channels to improve pulse‐by‐pulse ...
Anmol Rattan, Daniel Andre, Mark Finnis
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European Journal of Remote Sensing, 2021 Synthetic aperture radar (SAR), with all-day and all-weather observation capabilities, can capture the phenology of crops with short growth cycles to improve land cover classification results.
Di Liu +5 more
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Earth and Space Science, Volume 12, Issue 1, January 2025.Abstract Because of the remote nature of permafrost, it is difficult to collect data over large geographic regions using ground surveys. Remote sensing enables us to study permafrost at high resolution and over large areas. The Arctic‐Boreal Vulnerability Experiment's Permafrost Dynamics Observatory (PDO) contains data about permafrost subsidence ...
Elizabeth Wig +10 more
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Training Sample Selection Based on SAR Images Quality Evaluation With Multi‐Indicators Fusion
IET Signal Processing, Volume 2025, Issue 1, 2025.In recent years, with the development of artificial neural networks, efficiently training models for synthetic aperture radar (SAR) image classification tasks has garnered significant attention from researchers. Particularly when dealing with datasets containing a large number of redundant samples, the selection of training samples becomes crucial for ...
Pengcheng Wang +3 more
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Consistency Regularization Semisupervised Learning for PolSAR Image Classification
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.Polarimetric Synthetic Aperture Radar (PolSAR) images have emerged as an important data source for land cover classification research due to their all‐weather, all‐day monitoring capabilities. Deep learning‐based classification methods have recently gained significant attention in PolSAR image classification since they have demonstrated excellent ...
Yu Wang +3 more
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L‐Band InSAR Snow Water Equivalent Retrieval Uncertainty Increases With Forest Cover Fraction
Geophysical Research Letters, Volume 51, Issue 24, 28 December 2024.Abstract There is a pressing need for global monitoring of snow water equivalent (SWE) at high spatiotemporal resolution, and L‐band (1–2 GHz) interferometric synthetic aperture radar (InSAR) holds promise. However, the technique has not seen extensive evaluation in forests.
R. Bonnell +7 more
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Discussion on Application of Polarimetric Synthetic Aperture Radar in Marine Surveillance
Leida xuebao, 2016 Synthetic Aperture Radar (SAR), an important earth observation sensor, has been used in a wide range of applications for land and marine surveillance. Polarimetric SAR (PolSAR) can obtain abundant scattering information of a target to improve the ability
Zhang Jie +3 more
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IET Radar, Sonar &Navigation, Volume 18, Issue 12, Page 2642-2656, December 2024.An optimised scattering power decomposition model is proposed which comprises surface, double‐bounce, oriented dipole and volume scattering components. The authors derive the optimised four‐component decomposition model from mathematical and theoretical perspectives, and verify the rationality of the optimised decomposition model using large amounts of
Lu Fang, Wenxing Mu, Ning Wang, Tao Liu
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IET Radar, Sonar &Navigation, Volume 18, Issue 12, Page 2681-2697, December 2024.SAR GMTI is of great importance for both civlisation and military applications. The clutter suppression performance is an important assurance for the accuracy and precision of GMTI. To achieve better clutter suppression performance, it often requires extremely precise registration of multi‐channel data, including polarization and interferometric ...
Jing Xu +3 more
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