Omnibus test for change detection in a time sequence of polarimetric SAR data

A. Nielsen, K. Conradsen, H. Skriver
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引用次数: 8

Abstract

Based on an omnibus likelihood ratio test statistic for the equality of several variance-covariance matrices following the complex Wishart distribution with an associated p-value and a factorization of this test statistic, change analysis in a (short) time series of multilook, polarimetric SAR data in the covariance matrix representation is carried out. The omnibus test statistic and its factorization detect if and when change(s) occur. The technique is demonstrated on airborne EMISAR C-band data but may be applied to ALOS, COSMO-SkyMed, RadarSat-2, Sentinel-1, TerraSAR-X, and Yoagan or other dual- and quad/full-pol data also.
偏振SAR数据时间序列变化检测的综合测试
基于具有相关p值的复杂Wishart分布的多个方差-协方差矩阵相等的综合似然比检验统计量,并对该检验统计量进行因式分解,在协方差矩阵表示下对(短)时间序列的多视点极化SAR数据进行变化分析。综合检验统计量及其因子分解检测是否和何时发生变化。该技术已在机载EMISAR c波段数据上进行了演示,但也可应用于ALOS、cosmos - skymed、RadarSat-2、Sentinel-1、TerraSAR-X和Yoagan或其他双端和四端/全端数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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