计算机应用研究2011，Vol.28Issue(2)：756-758,762,4.DOI:10.3969/j.issn.1001-3695.2011.02.099
一种基于纹理特征融合的SAR图像分割方法
Texture feature fusion-based segmentation method of SAR images
刘保利 1赵宗涛2
作者信息
- 1. 西京学院工程技术系,西安,710123
- 2. 第三炮兵工程学院计算机系,西安,710025
- 折叠
摘要
Abstract
This paper presented a new method for segmentation of synthetic aperture radar (SAR) images.It proposed a Gaussian autoregressive (GAR) model under a multiresolution pairwise Markov framework based on texture feature fusion images from in part gray level co-occurrence probability statistics, examined the texture segmentation of SAR image using the multi-resolution maximization of the posterior marginal (MPM) estimate with corresponding unsupervised segmentation algorithm on those texture feature fusion images.This method used the pixel gray level information, and also used pixel space location information, reduced the speckle noise effect for the segmentation.For some SAR images, compared with multiresolution pariwise Markov-GAR model texture segmentation based on gray level images, the results of experimentation show that the segmentation precision can be improved by the method in this paper.关键词
灰度共生矩阵/特征融合/双Markov模型/多分辨MPM/纹理分割分类
信息技术与安全科学引用本文复制引用
刘保利,赵宗涛..一种基于纹理特征融合的SAR图像分割方法[J].计算机应用研究,2011,28(2):756-758,762,4.
