[ABE-L] CONVITE - Webinar Prof. Fábio M. Bayer (UFSM) - 29/04/2021 - 14h00

[Helton Saulo]

O Programa de Pós-Graduação em Estatística (PPGEST) da UnB convida para:

WEBINAR: *A Novel Rayleigh Dynamical Model for Remote Sensing Data
Interpretation*

Palestrante: *Prof. Fábio M. Bayer (UFSM)*

Resumo: This article introduces the Rayleigh autoregressive moving average
(RARMA) model, which is useful to interpret multiple different sets of
remotely sensed data, from wind measurements to multitemporal synthetic
aperture radar (SAR) sequences. The RARMA model is indeed suitable for
continuous, asymmetric, and nonnegative signals observed over time. It
describes the mean of Rayleigh-distributed discrete-time signals by a
dynamic structure including autoregressive (AR) and moving average (MA)
terms, a set of regressors, and a link function. After presenting the
conditional likelihood inference for the model parameters and the detection
theory, in this article, a Monte Carlo simulation is performed to evaluate
the finite signal length performance of the conditional likelihood
inferences. Finally, the new model is applied first to sequences of wind
speed measurements, and then to a multitemporal SAR image stack for
land-use classification purposes. The results in these two test cases
illustrate the usefulness of this novel dynamic model for remote sensing
data interpretation. [with Débora M. Bayer (UFSM), Andrea Marinoni (The
Arctic University of Norway) and Paolo Gamba (University of Pavia)].

Link artigo: https://doi.org/10.1109/TGRS.2020.2971345

DATA:  *29/04/2021 (quinta-feira)*

HORÁRIO: *14:00h (horário local de Brasília)*

O seminário é público e poderá ser assistido pelo Link

https://teams.microsoft.com/l/meetup-join/19%3a4fb3edd255ec4b8bb326f0d266d4f0e7%40thread.tacv2/1619389155795?context=%7b%22Tid%22%3a%22ec359ba1-630b-4d2b-b833-c8e6d48f8059%22%2c%22Oid%22%3a%22c1e53095-7194-4e38-8978-47dca8b13429%22%7d


As informações detalhadas dessa palestra estão disponíveis no site do
PPGEST ( http://pgest.unb.br/pt-br/seminarios
<http://www.pgest.unb.br/pt-br/seminarios> ) e também no cartaz anexo.

Participem!

Atenciosamente,


-- 
Helton Saulo
Department of Statistics
University of Brasilia
Brasilia, DF
Brazil 70910-900
Email: heltonsaulo em gmail.com
Web: https://heltonsaulo.github.io/site/
-------------- Próxima Parte ----------
Um anexo em HTML foi limpo...
URL: <http://lists.ime.usp.br/pipermail/abe/attachments/20210428/8fd52297/attachment-0001.htm>
-------------- Próxima Parte ----------
Um anexo não-texto foi limpo...
Nome: Seminario-Fabio.pdf
Tipo: application/pdf
Tamanho: 35325 bytes
Descrição: não disponível
URL: <http://lists.ime.usp.br/pipermail/abe/attachments/20210428/8fd52297/attachment-0001.pdf>