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基于数学形态学的LIDAR数据分割和边缘提取 被引量:7

Point Segmentation and Edge Detection of LIDAR Data Based on the Mathematical Morphology
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摘要 针对通过LIDAR方法获取的数据,根据矢量转化成栅格数据的方法将数据转化成图像,然后用数学形态学中的膨胀和腐蚀方法进行序贯运算。并将得到的图像进行边缘提取和边缘矢量化,得到每个地物所对应的边缘和数据点。最后通过两个算例来说明这种方法的可行性。 Using the approach of changing vector data to grid data, the data from LIDAR can be converted to raster image. Then sequential operation of dilation and erosion of mathematic morphology are conducted on the raw image. Then the edge can be detected and vectorized with the result image. By using the edge of image, the edge of object and its corresponding data points can be identified. At the end, two experiments are carried out to show the feasibility of this approach.
作者 吴杭彬 刘春
出处 《遥感信息》 CSCD 2008年第4期27-32,共6页 Remote Sensing Information
基金 国家自然科学基金(项目号:40501061) 国家863计划(项目号:2007AA12Z178) 现代工程测量国家测绘局重点实验室开放基金(ES-SBSM-(07)-07)资助
关键词 膨胀 腐蚀 矢量 栅格 边缘提取 dilation corrosion vector raster edge detection
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