...high-resolution remote sensing images; road extraction 摘 要: 基于待分割目标的灰度特征分布, 提出了一种能自适应地改变生长准则参数的区域生长方法.将该自适应区域生长算 [gap=207]关键词: 自适应区域生长; GVF- Snake 模型 ; 高分辨率遥感影像; 道路提取 DOI: 10.3778/j.issn.1002-8331.2010.31.056 文章编号: 1002-8331 (2010) 31-0202-..
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The information identification is the most difficult in the application of high-resolution remote sensing images.
信息识别是目前高分辨率遥感应用中的最大障碍。
Automatic extraction of linear objects such as roads has been the hotspots in the research of high-resolution remote sensing images.
道路等线性地物的自动提取一直是高分辨率遥感影像研究所关注的内容。
The result shows that mean-shift is a good method of segmentation to high-resolution remote sensing images; both the velocity and accuracy of segmentation are satisfied.
结果表明：采用均值调整法进行高分辨率遥感图像分割具有较好的效果，图像分割的速度和精度均较高。
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