Buscar
Mostrando ítems 1-10 de 370
Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances
(2018-06-05)
Region-based classification of PolSAR data can be effectively performed by seeking for the assignment that minimizes a distance between prototypes and segments. Silva et al. [“Classification of segments in PolSAR imagery ...
K-means algorithm based on stochastic distances for polarimetric synthetic aperture radar image classification
(2016-10-01)
The availability of polarimetric synthetic aperture radar (PolSAR) images has increased, and consequently, the classification of such images has received immense attention. Among different classification methods in the ...
Region-based classification of PolSAR data through kernel methods and stochastic distances
(2018-01-01)
Stochastic distances combined with Minimum Distance method for region-based classification of Polarimetric Synthetic Aperture Radar (PolSAR) image was successfully verified in Silva et al. (2013). Methods like K-Nearest ...
Spectral-Spatial-Aware Unsupervised Change Detection with Stochastic Distances and Support Vector Machines
(2021-04-01)
Change detection is a topic of great interest in remote sensing. A good similarity metric to compute the variations among the images is the key to high-quality change detection. However, most existing approaches rely on ...
A new bayesian Poisson denoising algorithm based on nonlocal means and stochastic distances
(2022-02-01)
Poisson noise is the main cause of degradation of many imaging modalities. However, many of the proposed methods for reducing noise in images lack a formal approach. Our work develops a new, general, formal and computationally ...
Hierarchical clustering and stochastic distance for indirect semi-supervised remote sensing image classification
(Springer, 2019-03-01)
Usually, image classification methods have supervised or unsupervised learning paradigms. While unsupervised methods do not need training data, the meanings behind the classified elements are not explicitly know. Conversely, ...
Decomposition of stochastic flow and an averaging principle for slow perturbations
(2020-01-01)
In this work we use the stochastic flow decomposition technique to get components that represent the dynamics of the slow and fast motion of a stochastic differential equation with a random perturbation. Assuming a Lipschitz ...
Incremental constraint projection methods for monotone stochastic variational inequalities
(INFORMS Inst.for Operations Res.and the Management Sciences, 2019)
We consider stochastic variational inequalities (VIs) with monotone operators where the feasible set is an intersection of a large number of convex sets. We propose a stochastic approximation method with incremental ...
Isolation by distance and stochastic migration in a fragmented population of Prosopis alba
(Botanical Society of America, 2017-02)
PREMISE OF THE STUDY: Gene flow through dispersal of seeds and pollen is a fundamental determinant of spatial genetic structure (SGS) in natural populations of trees at different spatial scales. Within continuous populations, ...