一种高分辨率SAR图像河流边界自动提取方法

被引：5

作者：

魏丹 ^{[1
]}

赵新强 ^{[2
]}

机构：

[1] 河南大学计算机与信息工程学院

[2] 河南大学软件学院

来源：

计算机应用与软件 | 2015年 / 32卷 / 11期

关键词：

合成孔径雷达(SAR); 水域提取; 局部连接性; 活动轮廓模型(ACM);

D O I：

暂无

中图分类号：

TN957.52 [数据、图像处理及录取];

学科分类号：

摘要：

针对经典阈值分割方法在高分辨率合成孔径雷达SAR(Synthetic Aperture Radar)河流边界提取中存在很高的噪声斑点和在高山区域SAR图像存在大面积的阴影的问题,提出一种新颖的基于高分辨率SAR强度图像的河流边界自动提取方法。该方法核心在于结合河流的局部连接特性和基于变化水平集框架中的区域活动轮廓模型(ACM),以区分河流区域和背景。实验结果证实了该方法的有效性和稳健性。

引用

页码：213 / 216

页数：4

共 13 条

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