国土资源遥感
國土資源遙感
국토자원요감
REMOTE SENSING FOR LAND & RESOURCES
2015年
1期
55-61
,共7页
边缘检测%道路提取%方向模板%图像分块%直线段投票%受限膨胀
邊緣檢測%道路提取%方嚮模闆%圖像分塊%直線段投票%受限膨脹
변연검측%도로제취%방향모판%도상분괴%직선단투표%수한팽창
edge detection%road extraction%direction template%image blocking%line segment voting%limited dila-tion
从遥感图像中提取边缘线是一个经典的课题，不同的边缘提取算法适用于不同类型的图像。实际图像中道路的几何形状不甚规则，因受到建筑和树木遮挡导致对比度较低且噪声影响较严重，道路边缘线会发生断裂，故高分辨率遥感图像道路边缘线提取一直是一个研究热点。针对现有方法很难提取出清晰连续的道路边缘线问题，提出一种遥感图像道路边缘线提取新方法：首先通过方向模板检测边缘点，搜索出分块图像中的子线段；然后延伸子线段并进行投票，连接处于弯曲边缘线的直线段，将长度大于特定阈值的边缘线作为输出结果；最后去除毛刺和分叉，取8个方向道路的并集作为最终道路网。实验结果表明，该方法能够从高分辨率遥感图像中较好地提取带有一定曲率、对比度较低、噪声影响严重的道路边缘线。
從遙感圖像中提取邊緣線是一箇經典的課題，不同的邊緣提取算法適用于不同類型的圖像。實際圖像中道路的幾何形狀不甚規則，因受到建築和樹木遮擋導緻對比度較低且譟聲影響較嚴重，道路邊緣線會髮生斷裂，故高分辨率遙感圖像道路邊緣線提取一直是一箇研究熱點。針對現有方法很難提取齣清晰連續的道路邊緣線問題，提齣一種遙感圖像道路邊緣線提取新方法：首先通過方嚮模闆檢測邊緣點，搜索齣分塊圖像中的子線段；然後延伸子線段併進行投票，連接處于彎麯邊緣線的直線段，將長度大于特定閾值的邊緣線作為輸齣結果；最後去除毛刺和分扠，取8箇方嚮道路的併集作為最終道路網。實驗結果錶明，該方法能夠從高分辨率遙感圖像中較好地提取帶有一定麯率、對比度較低、譟聲影響嚴重的道路邊緣線。
종요감도상중제취변연선시일개경전적과제，불동적변연제취산법괄용우불동류형적도상。실제도상중도로적궤하형상불심규칙，인수도건축화수목차당도치대비도교저차조성영향교엄중，도로변연선회발생단렬，고고분변솔요감도상도로변연선제취일직시일개연구열점。침대현유방법흔난제취출청석련속적도로변연선문제，제출일충요감도상도로변연선제취신방법：수선통과방향모판검측변연점，수색출분괴도상중적자선단；연후연신자선단병진행투표，련접처우만곡변연선적직선단，장장도대우특정역치적변연선작위수출결과；최후거제모자화분차，취8개방향도로적병집작위최종도로망。실험결과표명，해방법능구종고분변솔요감도상중교호지제취대유일정곡솔、대비도교저、조성영향엄중적도로변연선。
Edge lines extraction from remote sensing images is a classic problem, and different edge extraction algorithms are applicable to different types of images. The road shape is not very regular, the contrast is low and the impact of noise is serious in actual remote sensing image because the road might be blocked by buildings and trees, and the road edge lines are likely to be broken; therefore road edge lines extraction from high-resolution remote sensing image is always a hot research topic. In this paper,the authors propose a new method for extraction of the road lines from remote sensing image so as to solve the problem that it is difficult for the methods available to extract clear and continuous road edge lines. Firstly, the direction templates are introduced to detect the edge points and search for the sub-segments in block image;then the sub-segments are extended and the line segment voting is taken to connect straight line segments in the curved edge lines, and the edge lines whose length is greater than a given threshold are output; finally, the spur and bifurcation are removed and the union of edge lines in eight directions is taken as the final road network. Experiment results show that the method proposed in this paper can be used to extract the road edge lines which have a certain curvature and low contrast and are affected by noise seriously from high-resolution remote sensing images.
