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Paper detail

Nonparametric methods for detecting change in Multitemporal SAR/PolSAR Satellite Data

We employ nonparametric statistical procedures to analyse multitemporal SAR/PolSAR satellite images. The aim is two-fold. We seek parsimony in data representation as well as efficient change detection. For these, wavelets and geostatistical analyses are applied to the images (Morettin et al., 2017; Krainski et al., 2018). Following this representation, the dimension of the underlying generating process is estimated (Fonseca and Pinheiro, 2019), and a set of multivariate characteristics is extracted. Change-points are then detected via wavelets (Montoril et al., 2019).

preprint2020arXivOpen access
Rodney FonsecaGuilherme LudwigMichel MontorilAluísio Pinheiro
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Rodney FonsecaGuilherme LudwigMichel MontorilAluísio Pinheiro

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