论文标题
用于检测多阶段SAR/POLSAR卫星数据变化的非参数方法
Nonparametric methods for detecting change in Multitemporal SAR/PolSAR Satellite Data
论文作者
论文摘要
我们采用非参数统计程序来分析多个SAR/POLSAR卫星图像。目的是两倍。我们在数据表示方面寻求简约以及有效的变更检测。对于这些，将小波和地统计分析应用于图像（Morettin等，2017； Krainski等，2018）。按照此表示，估计了基本生成过程的维度（Fonseca和Pinheiro，2019年），并提取了一组多元特征。然后通过小波检测变化点（Montoril等，2019）。
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).
