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Bruna Gregory Palm
Researcher at Blekinge Institute of Technology
Publications - 16
Citations - 44
Bruna Gregory Palm is an academic researcher from Blekinge Institute of Technology. The author has contributed to research in topics: Computer science & Change detection. The author has an hindex of 4, co-authored 9 publications receiving 27 citations. Previous affiliations of Bruna Gregory Palm include Federal University of Pernambuco.
Papers
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Journal ArticleDOI
A Statistical Analysis for Wavelength-Resolution SAR Image Stacks
Dimas I. Alves,Bruna Gregory Palm,Mats I. Pettersson,Viet T. Vu,Renato Machado,Bartolomeu F. Uchoa-Filho,Patrik Dammert,Hans Hellsten +7 more
TL;DR: The tests results reveal that the Rician distribution is a very good candidate for modeling stack of wavelength-resolution SAR images, where 98.59% of the tested samples passed the Anderson–Darling (AD) goodness-of-fit test.
Journal ArticleDOI
Bootstrap-based inferential improvements in beta autoregressive moving average model
TL;DR: In this paper, the authors consider the issue of performing accurate small sample inference in the beta autoregressive moving average model, which is useful for modeling and forecasting continuous variables that assum...
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Bootstrap-based inferential improvements in beta autoregressive moving average model
TL;DR: This work considers the issue of performing accurate small sample inference in beta autoregressive moving average model and proposes bootstrap bias corrections of the point estimators and different bootstrap strategies for confidence interval improvements.
Proceedings ArticleDOI
Autoregressive model for multi-pass SAR change detection based on image stacks
Bruna Gregory Palm,Dimas I. Alves,Viet T. Vu,Mats I. Pettersson,Fábio M. Bayer,Renato J. Cintra,Renato Machado,Patrik Dammert,Hans Hellsten +8 more
TL;DR: Applying AR model for each pixel position in the image stack obtained an estimated image of the ground scene which can be used as a reference image for CDA and reveals that ground scene estimates by the AR models is accurate and can be use for change detection applications.
Proceedings ArticleDOI
A Detector for Wavelength Resolution SAR Incoherent Change Detection
Viet T. Vu,Dimas I. Alves,Bruna Gregory Palm,Mats I. Pettersson,Patrik Dammert,Hans Hellsten +5 more
TL;DR: In this article, an effective detector for wavelength-resolution SAR incoherent change detection is derived from Bayes' theorem, where the input of the detector is the differences between surveillance and reference magnitude images simply obtained by subtraction while the output is a summary of the detected changes.