| 张苗辉,郭拯危,刘扬.基于混合模型的SAR影像海陆分割算法[J].光电子激光,2017,28(3):326~333 |
| 基于混合模型的SAR影像海陆分割算法 |
| Sea-land segmentation algorithm for SAR images based on mixture models |
| 投稿时间：2016-05-03 |
| DOI： |
| 中文关键词: 合成孔径雷达(SAR) 海陆分割 Harris角点 均值漂移(MS) 混合模型 |
| 英文关键词:synthetic aperture radar (SAR) sea-land segmentation Harris corner mean-shi ft (MS) mixture models |
| 基金项目:国家自然科学基金(61305042)、中国博士后面上基金(2015M582182)、河南省科技攻关(152102210057)和河南大学基金(2012YBZR005)资助项目 (1.河南大学图像处理与模式识别研究所,河南 开封 475004; 2.河南省空间信息处理工程实验室,河南 开封 475004) |
|
| 摘要点击次数: 771 |
| 全文下载次数: 0 |
| 中文摘要: |
| 合成孔径雷达(SAR)影像的海陆分割是诸如海洋目 标检测和识别等基于海洋区域SAR影像解译的基础和关键环节之一。为解决复杂背景下遥感 影像海陆分割问题,提出一种基于混合概率模型的海陆分割算 法。首先利用Harris角点检测算法检测出影像中包含角点 的图像子块,进而通过均值漂移(MS,mean-shift)算法对图像子块进行聚类分析得到陆地 区域的 像素样本；然后利用陆地的像素样本,通过最大期望(EM,expectation maximization)迭代 算法拟合出混合模型概率 密度分布的相关参数；最后通过混合概率模型检测出陆地前景区域,得到 海陆分割结果。实验证明,本文方法能够对包含海陆的异质遥感影像实现有效的海陆分割。 |
| 英文摘要: |
| Sea-land segmentation of synthetic ap erture radar (SAR) image is one of the key stages for SAR image applications such as sea target detection and recognition,which are operated only in sea regi ons.A mixture probability models based algorithm is explored to solve the sea-land segmentation problems in complex SAR image.First,Harris corner det ector is employed to detect image patches containing corner points.Furthermore,the image patches are analyzed by mean-sh ift clustering algorithm,and the pixel samples of land regions are obtained.Second,a ccording to pixel samples from land regions,the parameters of probability de nsity function in mixture models are fitted by expectation maximization (EM) algorithm .Finally,land foreground regions are segmented by mixture probability models.Experimental results demonst rate that the proposed algorithm has excellent performance to deal with heterogeneous SAR image. |
| 查看全文 下载PDF阅读器 |
| 关闭 |
|
|
|
|
|