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Found 17 papers, 0 papers with code
A PolSAR Scattering Power Factorization Framework and Novel Roll-Invariant Parameters Based Unsupervised Classification Scheme Using a Geodesic Distance
The product of the total power (Span) with these weights provides the non-negative scattering power components.
Comparing Samples from the $\mathcal{G}^0$ Distribution using a Geodesic Distance
The $\mathcal{G}^0$ distribution is widely used for monopolarized SAR image modeling because it can characterize regions with different degree of texture accurately.
Parameter Estimation for the Single-Look $\mathcal{G}^0$ Distribution
It is well-known that these images are affected by speckle, and prone to contamination as double bounce and corner reflectors.
Unsupervised Classification of PolSAR Data Using a Scattering Similarity Measure Derived from a Geodesic Distance
This geodesic distance is obtained between an elementary target and the observed Kennaugh matrix, and it is further utilized to compute a similarity measure between scattering mechanisms.
Unassisted Quantitative Evaluation Of Despeckling Filters
We, then, assess the quality of a filter by the closeness of $I$ to the hypothesis that it is adherent to the statistical properties of pure speckle.
The Geodesic Distance between $\mathcal{G}_I^0$ Models and its Application to Region Discrimination
This paper presents a new proposal for feature extraction and region discrimination in SAR imagery, using the geodesic distance as a measure of dissimilarity between $\mathcal{G}_I^0$ models.
Classification and Verification of Online Handwritten Signatures with Time Causal Information Theory Quantifiers
We present a new approach for online handwritten signature classification and verification based on descriptors stemming from Information Theory.
Optical images-based edge detection in Synthetic Aperture Radar images
We compare the modified and unmodified versions of the gravitational edge detection technique with the well-established one proposed by Canny, as well as with a recent multiscale fuzzy-based technique proposed by Lopez-Molina et Alejandro We also address the issues of aggregation of gray level images before and after edge detection and of filtering.
Classification of Complex Wishart Matrices with a Diffusion-Reaction System guided by Stochastic Distances
We propose a new method for PolSAR (Polarimetric Synthetic Aperture Radar) imagery classification based on stochastic distances in the space of random matrices obeying complex Wishart distributions.
Bias Correction and Modified Profile Likelihood under the Wishart Complex Distribution
This paper proposes improved methods for the maximum likelihood (ML) estimation of the equivalent number of looks $L$.
Distinguishing noise from chaos: objective versus subjective criteria using Horizontal Visibility Graph
A recently proposed methodology called the Horizontal Visibility Graph (HVG) [Luque {\it et al.}, Phys.
A New Algorithm of Speckle Filtering using Stochastic Distances
The proposal is compared with the Lee's filter using a protocol based on Monte Carlo.
SAR Image Despeckling Algorithms using Stochastic Distances and Nonlocal Means
The proposals are compared with the Improved Sigma filter and with anisotropic diffusion for speckled data (SRAD) using a protocol based on Monte Carlo simulation.
Comparing Edge Detection Methods based on Stochastic Entropies and Distances for PolSAR Imagery
This paper discusses seven methods for edge detection in multilook PolSAR images.
Speckle Reduction with Adaptive Stack Filters
We study the performance of adaptive stack filters when they are applied to speckled imagery, in particular to Synthetic Aperture Radar (SAR) images.
Analytic Expressions for Stochastic Distances Between Relaxed Complex Wishart Distributions
The scaled complex Wishart distribution is a widely used model for multilook full polarimetric SAR data whose adequacy has been attested in the literature.
Speckle Reduction in Polarimetric SAR Imagery with Stochastic Distances and Nonlocal Means
The test stems from the family of (h-phi) divergences which originated in Information Theory.
