Results 51 to 60 of about 1,334 (222)
TRANSFORMATION BASED ALGORITHMS FOR CHANGE DETECTION IN FULL POLARIMETRIC REMOTE SENSING IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Thanks to the recent advances in the development of polarimetric synthetic aperture radar (SAR) sensors, this remote sensing field attracts many applications.
S. T. Seydi, R. Shahhoseini
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Perspectiva Geográfica, 2023 Este artículo presenta los resultados del análisis polarimétrico, a través de una imagen de radar de apertura sintética (SAR) con cuatro polarizaciones utilizando la herramienta SAR polarimetry target analysis, realizado a las coberturas de la tierra ...
Juan Carlos Parra Garzón +2 more
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Perspectives on Systematic Cloud Microphysics Scheme Development With Machine Learning
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 1, January 2026.Abstract Cloud microphysics—the collection of processes that govern the small‐scale formation, evolution, and interactions of liquid droplets and ice crystals in clouds and precipitation—remains a major source of uncertainty in weather and climate models.
Kara D. Lamb +9 more
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Hybrid polarimetry inverse synthetic aperture radar
IET Radar, Sonar & NavigationThe inverse synthetic aperture radar (ISAR) system exploits the movement of the target to form its high‐resolution image. Further, the multi‐polarisation acquisition in ISAR collects additional information on the target's scattering properties and ...
Ajeet Kumar +2 more
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Synthetic Aperture Radar (SAR) Compact Polarimetry for Soil Moisture Retrieval
Remote Sensing, 2019 Soil moisture is a factor for risk analysis in the agricultural sector, yet access to temporally and spatially detailed data is challenging for much of the world’s agricultural extend. Significant effort has been focused on developing methodologies
Amine Merzouki +3 more
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IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.Polarimetric SAR data's inherent complex‐valued nature demands algorithms that work directly with complex representations, yet most deep‐learning approaches sidestep this by converting to the real domain. We implement and evaluate complex‐valued convolutional autoencoders that compress and accurately reconstruct full‐polarimetric SAR signals—preserving
Quentin Gabot +4 more
wiley +1 more source
Advanced Electromagnetics, 2012 Recently, there has been growing interest in dual-pol systems that transmit one polarization and receive two polarizations. Souyris et al. proposed a DP mode called compact polarimetry (CP) which is able to reduce the complexity, cost, mass, and data ...
S. Boularbah +2 more
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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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Polarization Estimation with a Single Vector Sensor for Radar Detection
Remote Sensing, 2022 Target detection using radar has important applications in military and civilian fields. Aimed at targets containing interference, radar polarimetry can facilitate discrimination between the target and interference.
Yaomin He, Jian Yang
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Geophysical Research Letters, Volume 52, Issue 24, 28 December 2025.Abstract Multi‐Doppler analyses from the joint Prediction of Rainfall Extremes Campaign in the Pacific 2022 and Taiwan‐Area Heavy rain Observation and Prediction Experiment field campaign are used to examine the relationships between dynamics and rainfall intensity in two Mei‐Yu frontal periods.
Jennifer C. DeHart, Michael M. Bell
wiley +1 more source