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基于高分辨率遥感影像的DSM建筑物点的提取研究 被引量:15

Research on Extracting Building Points from the DSM Data Combining the High-resolution Remote Sensing Image
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摘要 采用基于小面积去除方法的中值SUSAN噪声点平滑方法,结合高分辨率遥感影像,对DSM中房屋点的提取进行了探讨。实验表明,本方法能有效地从DSM中提取绝大部分建筑物点,有助于建筑物的精确三维重建。 According to high-resolution remote sensing image and digital surface model (DSM) the three dimensional building models can be automated established. The key of procedure is to obtain the building points from the DSM. Combining high resolution remote sensing image, the small region elimination method and Median-SUSAN filter is discussed for extracting the building points in this paper. The experiment indicats that this method is effectived for obtaining the major part of buitding points from DSM. It is benefit for the building's precise three-dimensional reconstruction.
出处 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2009年第4期414-417,共4页 Geomatics and Information Science of Wuhan University
基金 国家自然科学基金资助项目(40523005)
关键词 高分辨率遥感影像 数字表面模型 建筑物点 决策树分类 中值SUSAN滤波 high-resolution remote sensing image digital surface model building points decision tree median SUSAN filter
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参考文献4

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二级参考文献14

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引证文献15

二级引证文献215

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