Synthetic aperture radar image statistical modeling: Part one-single-pixel statistical models
With the rapid development of spaceborne synthetic aperture radar (SAR) technology and
the acquisition of a large volume of SAR images, SAR image interpretation has become an …
the acquisition of a large volume of SAR images, SAR image interpretation has become an …
Distance measures of polarimetric SAR image data: A survey
Distance measure plays a critical role in various applications of polarimetric synthetic
aperture radar (PolSAR) image data. In recent decades, plenty of distance measures have …
aperture radar (PolSAR) image data. In recent decades, plenty of distance measures have …
Change detection in multilook polarimetric SAR imagery with determinant ratio test statistic
In this article, we propose a determinant ratio test (DRT) statistic to measure the similarity of
two covariance matrices for unsupervised change detection in polarimetric radar images …
two covariance matrices for unsupervised change detection in polarimetric radar images …
[HTML][HTML] Unsupervised change detection in PolSAR images using siamese encoder–decoder framework based on graph-context attention network
Z Yang, Y Wu, M Li, X Hu, Z Li - … Journal of Applied Earth Observation and …, 2023 - Elsevier
Extracting difference features is a key technique for polarimetric synthetic aperture radar
(PolSAR) image change detection. Although the current PolSAR change detection …
(PolSAR) image change detection. Although the current PolSAR change detection …
Exact R´enyi and Kullback-Leibler Divergences Between Multivariate t-Distributions
N Bouhlel, D Rousseau - IEEE Signal Processing Letters, 2023 - ieeexplore.ieee.org
In this letter, we propose a closed-form expression of the Rényi divergence (RD) of order
between two zero-mean real multivariate-distributions (MTDs). Such distribution has been …
between two zero-mean real multivariate-distributions (MTDs). Such distribution has been …
Local image segmentation model via Hellinger distance
G Liu, J Guo, Y Wang, X Liu, W Ma, R Zhang - The Visual Computer, 2024 - Springer
Highly accurate active contour models are widely used in various image segmentation
methods. In this paper, we propose an image segmentation model based on Hellinger …
methods. In this paper, we propose an image segmentation model based on Hellinger …
A novel bivariate distribution and its divergence-based hypothesis inference: an application to the deforestation focus detection
AS Silva, ADC Nascimento - International Journal of Remote …, 2023 - Taylor & Francis
The polarimetric synthetic aperture radar (PolSAR) system is one of the most successful
tools for solving remote-sensing issues. However, the images produced by this system …
tools for solving remote-sensing issues. However, the images produced by this system …
Structure-awareness SAR imagery by exploiting structure tensor TV regularization under multitask learning framework
L Yang, S Zhang, C Fang, R Wu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Conventional sparsity-driven synthetic aperture radar (SAR) imagery often encounters the
problem of loss of structural features in weak scattering. Although there are algorithms that …
problem of loss of structural features in weak scattering. Although there are algorithms that …
A Bayesian Nonparametric Model for Unsupervised Change Detection of Fully Polarimetric SAR Images
This paper proposes a new method for automatic change detection in multilook polarimetric
synthetic aperture radar (PolSAR) images based on unsupervised classification of these …
synthetic aperture radar (PolSAR) images based on unsupervised classification of these …
Reconstruction error-based decomposition feature selection for PolSAR image
Target decomposition features are the cornerstone of subsequent analyses for PolSAR
images. Generally, adopting single or several decomposition algorithms limits the …
images. Generally, adopting single or several decomposition algorithms limits the …