Zobrazeno 1 - 10
of 486
pro vyhledávání: '"FRERY, A. C."'
Publikováno v:
Elsevier ISPRS Journal of Photogrammetry and Remote Sensing, Volume 213, July 2024, Pages 1-13
Synthetic aperture radar (SAR) is an efficient and widely used remote sensing tool. However, data extracted from SAR images are contaminated with speckle, which precludes the application of techniques based on the assumption of additive and normally
Externí odkaz:
http://arxiv.org/abs/2410.10482
Autor:
Chagas, Eduarda T. C., Frery, Alejandro. C., Gambini, Juliana, Lucini, Magdalena M., Ramos, Heitor S., Rey, Andrea A.
Publikováno v:
Chaos: An Interdisciplinary Journal of Nonlinear Science (2022)
The ultimate purpose of the statistical analysis of ordinal patterns is to characterize the distribution of the features they induce. In particular, knowing the joint distribution of the pair Entropy-Statistical Complexity for a large class of time s
Externí odkaz:
http://arxiv.org/abs/2209.07650
The degree of polarimetric purity is an invariant dimensionless quantity that characterizes the closeness of a polarization state of a wave to a pure state and is related to the Von Neumann entropy. The polarimetric purity of a plane wave characteriz
Externí odkaz:
http://arxiv.org/abs/2202.10225
Autor:
Frery, Alejandro C.1 (AUTHOR) alejandro.frery@vuw.ac.nz, Alpala, Janeth2 (AUTHOR) janeth.alpala@ufpe.br, Nascimento, Abraão D. C.2 (AUTHOR) abraao@de.ufpe.br
Publikováno v:
Remote Sensing. Jun2024, Vol. 16 Issue 11, p1973. 25p.
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena November 2024 188
Autor:
Wang, Hao, Sun, Shixin, Chang, Laibin, Li, Huanyu, Zhang, Wenwen, Frery, Alejandro C., Ren, Peng
Publikováno v:
In Engineering Applications of Artificial Intelligence July 2024 133 Part D
Autor:
Negri, Rogério G., Frery, Alejandro C.
Publikováno v:
In Computers and Geosciences September 2023 178
We propose a generic Scattering Power Factorization Framework (SPFF) for Polarimetric Synthetic Aperture Radar (PolSAR) data to directly obtain $N$ scattering power components along with a residue power component for each pixel. Each scattering power
Externí odkaz:
http://arxiv.org/abs/1906.11577
Autor:
Frery, Alejandro C., Gambini, Juliana
The $\mathcal{G}^0$ distribution is widely used for monopolarized SAR image modeling because it can characterize regions with different degree of texture accurately. It is indexed by three parameters: the number of looks (which can be estimated for t
Externí odkaz:
http://arxiv.org/abs/1904.10499
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