Results 61 to 70 of about 14,591 (204)
Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 1, March 2025.Abstract Complex nonlinear relationships exist between the permafrost thermal state, active layer thickness, and terrestrial carbon cycle dynamics. In Arctic and boreal Alaska, significant uncertainties characterize the spatiotemporal rate and magnitude of permafrost degradation and the permafrost carbon feedback, with increasing recognition of the ...
B. A. Gay +5 more
wiley +1 more source
Bias Correction and Modified Profile Likelihood under the Wishart Complex Distribution
, 2014 This paper proposes improved methods for the maximum likelihood (ML) estimation of the equivalent number of looks $L$. This parameter has a meaningful interpretation in the context of polarimetric synthetic aperture radar (PolSAR) images.
Cintra, Renato J. +2 more
core +1 more source
Polarimetric sar speckle noise model [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2003 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
Comparative Analysis of Performance for Optimization‐Based Transionospheric SAR Autofocus
Radio Science, Volume 60, Issue 2, February 2025.Abstract For a spaceborne synthetic aperture radar (SAR) operating on low frequencies (such as P‐band), turbulence in the Earth's ionosphere may cause significant phase perturbations of the interrogating signals. These perturbations depend on both the antenna and target coordinates and may lead to substantial image distortions. In our previous work, we
Mikhail Gilman, Semyon Tsynkov
wiley +1 more source
Polarimetric SAR Speckle Reduction Based on Bilateral Filtering
Leida xuebao, 2014 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
A Non-Parametric Texture Descriptor for Polarimetric SAR Data with Applications to Supervised Classification [PDF]
, 2014 The paper describes a novel representation of polarimetric SAR (PolSAR) data that is inherently non-parametric and therefore particularly suited for characterising data in which the commonly adopted hypothesis of Gaussian backscatter is not ...
Jäger, Marc, Reigber, Andreas
core
Water Resources Research, Volume 61, Issue 2, February 2025.Abstract Monitoring and estimating mountain snowpack mass over regional scales is still a challenge because of the inadequacy of observational networks in capturing spatiotemporal variability, and limitations in remotely sensed retrievals. Recent work using C‐band synthetic aperture radar (SAR) backscatter data from the Sentinel‐1 satellite mission has
N. Bulovic +7 more
wiley +1 more source
Model-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 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
Journal of the World Aquaculture Society, Volume 56, Issue 1, February 2025.Abstract This research article presents a systematic literature review on the current state‐of‐the‐art artificial intelligence (AI) methodologies used in aquaculture applications. As the demand for seafood continues to grow, the aquaculture industry faces numerous challenges, including disease management, feeding optimization, water quality monitoring,
Thurein Aung +2 more
wiley +1 more source
Canadian Journal of Remote Sensing, 2018 Agriculture is an important sector in Canada, and annual crop inventories are required in many agricultural applications. Multi-temporal polarimetric synthetic aperture radar (SAR) data have great potential in crop classification due to its less ...
Chunhua Liao +3 more
doaj +1 more source