Zobrazeno 1 - 10
of 260
pro vyhledávání: '"A. C. Frery"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W12-2020, Pp 141-146 (2020)
In this work, a new nonlocal means filter for single-look speckled data using the Shannon and Rényi entropies is proposed. The measure of similarity between a central window and patches of the image is based on a statistical test for comparing if tw
Externí odkaz:
https://doaj.org/article/d946f4d888cc47fd80a89bea40934cdd
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W12-2020, Pp 487-492 (2020)
We propose a new technique for SAR image texture characterization based on ordinal pattern transition graphs. The proposal consists in (i) transforming a 2-D patch of data into a time series using a Hilbert Space Filling Curve, (ii) building an Ordin
Externí odkaz:
https://doaj.org/article/bcdbd5667c264e0897a468ba3669b1b0
Publikováno v:
IEEE Access, Vol 12, Pp 83340-83362 (2024)
Clutter modeling is used in diverse Synthetic Aperture Radar (SAR) image processing fields, e.g., speckle suppression, detection, classification, and recognition. Therefore, accurate formulation of SAR clutter models is crucial to achieve effective p
Externí odkaz:
https://doaj.org/article/f862de03df7d432ba283634a60beebaf
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Accurate spatial information on Land use and land cover (LULC) plays a crucial role in city planning. A widely used method of obtaining accurate LULC maps is a classification of the categories, which is one of the challenging problems. Attem
Externí odkaz:
https://doaj.org/article/1886c751498741169eebdd0ab14cce74
Autor:
Luan Orion Barauna, Rubens Andreas Sautter, Reinaldo Roberto Rosa, Erico Luiz Rempel, Alejandro C. Frery
Publikováno v:
Entropy, Vol 26, Iss 6, p 508 (2024)
In addition to their importance in statistical thermodynamics, probabilistic entropy measurements are crucial for understanding and analyzing complex systems, with diverse applications in time series and one-dimensional profiles. However, extending t
Externí odkaz:
https://doaj.org/article/6dde0004a1914df1b7e426b3b4d40488
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1973 (2024)
This paper presents a statistical approach to identify the underlying roughness characteristics in synthetic aperture radar (SAR) intensity data. The physical modeling of this kind of data allows the use of the Gamma distribution in the presence of f
Externí odkaz:
https://doaj.org/article/3156e8a5ac4647228b56d58e794b4e35
Autor:
Giuliana Beltramone, Alejandro C. Frery, Camilo H. Rotela, Alba German, Matias Bonansea, C. Marcelo Scavuzzo, Anabella Ferral
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 6995-7008 (2023)
In cryospheric studies, the most critical variable is estimating the beginning and evolution of the seasonal snow accumulation and its melting process. We propose and evaluate a new method for identifying seasonal snow cover phase changes in the Arge
Externí odkaz:
https://doaj.org/article/c9e4a5cb87a6414cbf07598934ce98cd
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2479 (2023)
Edge detection is one of the most critical operations for moving from data to information. Finding edges between objects is relevant for image understanding, classification, segmentation, and change detection, among other applications. The Gambini Al
Externí odkaz:
https://doaj.org/article/ebb42c1cb1f6420485b8054b3cd58694
Autor:
Andrea A. Rey, Alejandro C. Frery, Magdalena Lucini, Juliana Gambini, Eduarda T. C. Chagas, Heitor S. Ramos
Publikováno v:
Entropy, Vol 25, Iss 5, p 734 (2023)
We obtain expressions for the asymptotic distributions of the Rényi and Tsallis of order q entropies and Fisher information when computed on the maximum likelihood estimator of probabilities from multinomial random samples. We verify that these asym
Externí odkaz:
https://doaj.org/article/7a5db0e1add64c49b19b1b65936af7d0
Autor:
Subhadip Dey, Avik Bhattacharya, Alejandro C. Frery, Carlos Lopez-Martinez, Yalamanchili S. Rao
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 3887-3902 (2021)
Target decomposition methods from polarimetric Synthetic Aperture Radar (PolSAR) data provides target scattering information. In this regard, several conventional model-based methods use scattering power components to analyze polarimetric SAR data. H
Externí odkaz:
https://doaj.org/article/a14f40e15a23479aad9738ecb92d6377