  In this paper, we consider a change-point problem for a centered, stationary
and $m$-dependent multivariate random field. Under the distribution free
assumption, a change-point test using CUSUM statistic is proposed to detect
anomalies within a multidimensional random field, controlling the false
positive rate as well as the Family-Wise Error in the multiple hypotheses
testing context.
