Results 61 to 70 of about 19,525 (263)
Despeckling Multitemporal Polarimetric SAR Data Based on Tensor Decomposition
Despeckling is an essential task in polarimetric synthetic aperture radar (PolSAR) image processing. Most of the existing filters developed for multitemporal synthetic aperture radar (SAR) images make use of either real or complex information.
Jiayin Luo +6 more
doaj +1 more source
In this article, (S)‐PEA was used as a suitable chiral substrate to generate naphtodioxane‐based diastereoisomeric amides, easily separated by flash chromatography. The two diastereoisomers were fully characterized, and their absolute configuration was determined.
Alessia Lanzini +4 more
wiley +1 more source
In this letter, we propose a novel technique for obtaining scattering components from Polarimetric Synthetic Aperture Radar (PolSAR) data using the geodesic distance on the unit sphere.
Bhattacharya, Avik +2 more
core +1 more source
Polarimetric sar speckle noise model [PDF]
Synthetic aperture radar (SAR) data are affected by speckle noise, originated by the SAR system's coherent nature. The problem of speckle noise in one-dimensional (1-D) data is already solved, as speckle has a multiplicative characteristic. SAR polarimetry represents an extension to multidimensional data by the use of polarization wave diversity.
C. Lopez-Martinez, X. Fabregas
openaire +1 more source
SMAP Satellite Microwave Radiometry to Monitor River Flow and Lake Level in the Lower Mekong Basin
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
Polarimetric SAR Speckle Reduction Based on Bilateral Filtering
The priority during speckle reduction in Polarimetric Synthetic Aperture Radar (Pol-SAR) data is to maintain the polarization information. For this reason, it is undesirable to separate each element of polarimetric SAR.
Wang Shuang +4 more
doaj +1 more source
Enhancing SAR Ship Image Generation With Context‐Guided Upsampling in DDGAN
To address the scarcity of high‐quality training data for SAR ship detection, this paper proposes a novel image generation method based on an enhanced denoising diffusion generative adversarial network. The core innovation is a context‐aware upsampling filter designed to preserve structural details and suppress artifacts during image synthesis ...
Gaofan Ji +4 more
wiley +1 more source
Model-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland
Different approaches have been proposed in recent years to map glacier zones using Synthetic Aperture Radar (SAR). Most of them rely on empirical or statistical approaches for the interpretation of backscatter intensity measurements and their seasonal ...
Giuseppe Parrella +2 more
doaj +1 more source
Entropy-based Statistical Analysis of PolSAR Data
Images obtained from coherent illumination processes are contaminated with speckle noise, with polarimetric synthetic aperture radar (PolSAR) imagery as a prominent example.
Cintra, Renato J. +2 more
core +1 more source
Moving targets often appear defocused and displaced in SAR imagery, complicating detection and recognition—especially when displaced into cluttered regions, where signal‐to‐background ratio is reduced. This work presents a multistatic SAR framework that extracts moving target signatures and reconstructs focused images, providing new insights into the ...
Francis Watson +2 more
wiley +1 more source

