| 基于pLSA和Topo-MRF模型的SAR图像分类算法研究 |
| |
| 引用本文： | 刘梦玲,何楚,苏鑫,孙洪.基于pLSA和Topo-MRF模型的SAR图像分类算法研究[J].武汉大学学报(信息科学版),2011(1):122-125. |
| |
| 作者姓名： | 刘梦玲 何楚 苏鑫 孙洪 |
| |
| 作者单位： | 武汉大学电子信息学院; |
| |
| 基金项目： | 国家自然科学基金资助项目(60702041); 国家863计划资助项目(2009AA12Z145); 测绘遥感信息工程国家重点实验室专项科研经费资助项目 |
| |
| 摘 要： | 针对大多数分类方法未能同时考虑图像与特征、类别与特征、类别与类别之间关系的问题,提出了一种基于潜在语义分析(pLSA)和拓扑马尔可夫随机场(Topo-MRF)模型的合成孔径雷达(synthetic aperture radar,SAR)图像的分类算法。实验结果证明了该算法的有效性。
|
| 关 键 词： | 合成孔径雷达 图像分类 拓扑图 Local Binary Pattern |
A pLSA Based on Topo-MRF Model Method for SAR Images Classification |
| |
| LIU Mengling HE Chu SU Xin SUN Hong.A pLSA Based on Topo-MRF Model Method for SAR Images Classification[J].Geomatics and Information Science of Wuhan University,2011(1):122-125. |
| |
| Authors: | LIU Mengling HE Chu SU Xin SUN Hong |
| |
| Institution: | LIU Mengling1 HE Chu1 SU Xin1 SUN Hong1 (1 School of Electronic Information,Wuhan University,129 Luoyu Road,Wuhan 430079,China) |
| |
| Abstract: | A pLSA based Topo-Markov random field(MRF) model method for Synthetic Aperture Radar(SAR) image classification is proposed in this paper.A Topo-category learning method is proposed here to represent the relationships by calculating the proportions of points on boundaries to points belong to each class.It has superiorities over consistent quadratic terms as Potts models and complicated quadratic terms.Meanwhile,Local Binary Pattern as well as other typical features is used as the candidates of the input with... |
| |
| Keywords: | synthetic aperture radar image classification topographic map local binary pattern |
| 本文献已被 CNKI 等数据库收录！ |
