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首页> 外文会议>2010 International Conference on Multimedia Technology >Method for the Extraction of Loess Shoulder-Line from Grid Dems Based on Log Edge Detector
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Method for the Extraction of Loess Shoulder-Line from Grid Dems Based on Log Edge Detector

机译：基于对数边缘检测器的网格边坡黄土肩线提取方法

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This paper proposes a new method for extracting loess shoulder-lines from grid DEMs. The morphological characteristics of loess shoulder-lines are investigated firstly. Loess shoulder-lines is the border line of loess inner gully area and inter gully area and its upper side is the relatively flat area(with slope less than 20 degrees) called Inner gully, the lower side is the inter gully with slope between 30 degrees and 35 degrees. There is remarkable morphological variation between the upper side and the lower side. The variation is a clue to extract candidate points of loess shoulder-lines. By applying the edge detection operator LOG to noise removed DEM, the method for extracting loess shoulder-lines candidate points is proposed based on the prominent height variation of the points along the shoulder-lines. This method can detect shoulder-lines described above. The algorithm then connects the candidate points to small line segments by morphological method which labels points in an eight neighborhood window as a line, and finally, precise and systematic loess shoulder lines are extracted after refining the line segments by a simple filter of line length. Experiments in the loess hilly areas show that the loess shoulder-lines extracted by LOG operator has very good matching ratio to standard shoulder-lines extracted manually and good performances on line integration. This ratio is achieved by the so called contour matching method for line matching. Our experiments show that the LOG edge detector has the potential of detecting the explicit shoulder-lines by the zero cross of height second derivatives and the morphological filter can restrain the affection of random noise. The matching scores of extracted shoulder-lines with the standard shoulder-lines from real terrain show the LOG edge detector is a good shoulder line extraction method.
机译：本文提出了一种从网格DEM中提取黄土肩线的新方法。首先研究了黄土肩线的形态特征。黄土肩线是黄土内沟和沟间区域的分界线，其上侧是相对平坦的区域（坡度小于20度），称为内沟，下侧是沟间，坡度在30度之间和35度。在上侧和下侧之间存在明显的形态变化。该变化是提取黄土肩线候选点的线索。通过将边缘检测算子LOG应用于去除噪声的DEM，提出了一种基于黄土肩线候选点沿肩线的明显高度变化的提取方法。该方法可以检测上述的肩线。然后，该算法通过形态学方法将候选点连接到较小的线段，该方法将八个邻域窗口中的点标记为一条线，最后，通过简单的线长过滤器细化线段后，提取出精确而系统的黄土肩线。在黄土丘陵区进行的试验表明，LOG算子提取的黄土肩线与人工提取的标准肩线具有很好的匹配率，并且在线路集成方面表现良好。该比率是通过所谓的轮廓匹配方法来实现的。我们的实验表明，LOG边缘检测器具有通过高度二阶导数的零交叉检测明确的肩线的潜力，并且形态滤波器可以抑制随机噪声的影响。从实际地形中提取的肩线与标准肩线的匹配分数表明，LOG边缘检测器是一种很好的肩线提取方法。

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