Abstract-Change detection in polarimetric SAR (POLSAR)images is an important topic. Three statistics are compared on both simulated and real data for their efficacy in change detection. The three statistics are the contrast ratio, the ellipticity and the Bartlett test. The relative performance for these three test statistics on the two simulations is dramatically different. The results are illustrated and explained.
The fuzzy c-Median (FCMED) clustering algorithm is an altemating optimization (AO) method of solving the .fuuy c-Means (FCM) clustering algorithm using the 11 -norm. This algorithm is more resistant to outliers than the FCM-A0 algorithm using the P2-norm.The robustness of the FCMED does not come free, since the -fuzzy median is the cluster-centering statistic and exact evaluation of the fuzzy median usually involves ordering the sample values. The eflciency of calculating the fuzzy median is an important implementation issue. Two other evaluation methods are considered for the fuzzy median: The first is the remedian, which statisticians use to .rimplijj the estimation of the median. A fizzy remedian js defined and used to approximate the fuzzy median. The .record method finds the root of the derivative of the j'unctional equation defining the fuzzy median. Both upproaches are described and illustrated in this paper.
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