New context-based fused segmentation for SAR imagery based on multiscale markov mode
基于多尺度Markov模型的SAR图像上下文融合分割方法

A new unsupervised context-based fused segmentation algorithm for SAR imagery was proposed based on Multiscale Markov model.The method fully considered statistical characterization of SAR imagery and approximated segmented imagery with mixture rayleigh distribution.The model parameters could be straightly trained by iterative conditional estimation algorithm based on segmented image.Then we proposed four different context models to fuse multiscale image information.Finally,four different segmentation separately were obtained.Simulations on synthetic image and SAR imagery indicate that the new approach improves segmentation accuracy.