A New Method for Segmentation of SAR Imagery Based on MARMA ( Multiscale Autoregressive Moving Average) Model SAR图像分割的多尺度自回归滑动平均模型方法
A mixed autoregressive moving average ( MARMA) model is proposed for modeling nonlinear time series. 提出了一类用于非线性时间序列建模的混合自回归滑动平均模型(MARMA)。
The Bayes information criterion ( BIC) is used as a tool for the MARMA model selection. 运用贝叶斯信息准则(Bayesinformationcriterion)来选择该模型。
Our experiments show that steerable pyramid performs better than other multi-resolution analysis methods in our MARMA model. 实验结果显示,steerablepyramid比其它multi-resolution分析方法能更好的对纹理进行模拟。