Supervised classification of multisensor and multiresolution remote sensing images with a hierarchical copula-based approach
In this paper, we develop a novel classification approach for multiresolution, multisensor
[optical and synthetic aperture radar (SAR)], and/or multiband images. This challenging …
[optical and synthetic aperture radar (SAR)], and/or multiband images. This challenging …
Sentinel-2 satellite image time-series land cover classification with bernstein copula approach
C Tamborrino, R Interdonato, M Teisseire - Remote Sensing, 2022 - mdpi.com
A variety of remote sensing applications call for automatic optical classification of satellite
images. Recently, satellite missions, such as Sentinel-2, allow us to capture images in real …
images. Recently, satellite missions, such as Sentinel-2, allow us to capture images in real …
Classification of very high resolution SAR images of urban areas using copulas and texture in a hierarchical Markov random field model
This letter addresses the problem of classifying synthetic aperture radar (SAR) images of
urban areas by using a supervised Bayesian classification method via a contextual …
urban areas by using a supervised Bayesian classification method via a contextual …
Multisensor and multiresolution remote sensing image classification through a causal hierarchical markov framework and decision tree ensembles
In this paper, a hierarchical probabilistic graphical model is proposed to tackle joint
classification of multiresolution and multisensor remote sensing images of the same scene …
classification of multiresolution and multisensor remote sensing images of the same scene …
Supervised high-resolution dual-polarization SAR image classification by finite mixtures and copulas
In this paper, a novel supervised classification approach is proposed for high-resolution dual-
polarization (dual-pol) amplitude satellite synthetic aperture radar (SAR) images. A novel …
polarization (dual-pol) amplitude satellite synthetic aperture radar (SAR) images. A novel …
Modeling and unsupervised classification of multivariate hidden Markov chains with copulas
NJB Brunel, J Lapuyade-Lahorgue… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
Parametric modeling and estimation of non-Gaussian multidimensional probability density
function is a difficult problem whose solution is required by many applications in signal and …
function is a difficult problem whose solution is required by many applications in signal and …
Using gaussian copulas in supervised probabilistic classification
R Salinas-Gutiérrez, A Hernández-Aguirre… - Soft computing for …, 2011 - Springer
This chapter introduces copula functions and the use of the Gaussian copula function to
model probabilistic dependencies in supervised classification tasks. A copula is a …
model probabilistic dependencies in supervised classification tasks. A copula is a …
A new cascade model for the hierarchical joint classification of multitemporal and multiresolution remote sensing data
In this paper, we propose a novel method for the joint classification of both multidate and
multiresolution remote sensing imagery, which represents an important and relatively …
multiresolution remote sensing imagery, which represents an important and relatively …
Multiresolution supervised classification of panchromatic and multispectral images by Markov random fields and graph cuts
G Moser, A De Giorgi, SB Serpico - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The problem of supervised classification of multiresolution images, which are composed of a
higher resolution panchromatic channel and of several coarser resolution multispectral …
higher resolution panchromatic channel and of several coarser resolution multispectral …
Classification of multisensor and multiresolution remote sensing images through hierarchical Markov random fields
This letter proposes two methods for the supervised classification of multisensor optical and
synthetic aperture radar images with possibly different spatial resolutions. Both the methods …
synthetic aperture radar images with possibly different spatial resolutions. Both the methods …