Determining the Points of Change in Time Series of Polarimetric SAR Data

被引：66

作者：

Conradsen, Knut ^{[1
]}

Nielsen, Allan Aasbjerg ^{[1
]}

Skriver, Henning ^{[2
]}

机构：

[1] Tech Univ Denmark, Dept Appl Math & Comp Sci, DK-2800 Kongens Lyngby, Denmark

[2] Tech Univ Denmark, Natl Space Inst, DK-2800 Kongens Lyngby, Denmark

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2016年 / 54卷 / 05期

关键词：

Complex covariance matrix test statistic; complex Wishart distribution; dual polarization; EMISAR; full polarization; multitemporal synthetic aperture radar (SAR) data; omnibus test statistic; quad polarization; remote sensing change detection; UNSUPERVISED CHANGE DETECTION; URBAN CHANGE DETECTION; IMAGES; POLARIZATION; DETECTOR; AREAS; GAMMA;

D O I：

10.1109/TGRS.2015.2510160

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

We present the likelihood ratio test statistic for the homogeneity of several complex variance-covariance matrices that may be used in order to assess whether at least one change has taken place in a time series of SAR data. Furthermore, we give a factorization of this test statistic into a product of test statistics that each tests simpler hypotheses of homogeneity up to a certain point and that are independent if the hypothesis of total homogeneity is true. This factorization is used in determining the (pixelwise) time points of change in a series of six L-band EMISAR polarimetric SAR data. The pixelwise analyses are applied on homogeneous subareas covered with different vegetation types using the distribution of the observed p-values.

引用

页码：3007 / 3024

页数：18

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