| 密集城区高分辨率遥感影像建筑物提取 |
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| 引用本文： | 方鑫,陈善雄.密集城区高分辨率遥感影像建筑物提取[J].测绘通报,2019,0(4):79-83. |
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| 作者姓名： | 方鑫 陈善雄 |
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| 作者单位： | 武汉大学遥感信息工程学院,湖北 武汉,430079;武汉大学遥感信息工程学院,湖北 武汉,430079 |
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| 摘 要： | 建筑物在地理国情监测中是一个重要目标，快速、准确地提取城市建筑物可以带来巨大的经济价值。本文在前人针对城市区域的建筑物提取研究基础上，对现有提取方法存在的问题，提出了一种针对密集城区的面向对象自动化建筑物提取流程。首先利用高分辨率遥感影像得到阴影和建筑物初提取结果；然后利用阴影和建筑物的空间位置关系，建立筛选条件，对疑似建筑物区域过滤；最后通过图割算法来精确建筑物轮廓。通过使用武汉地区的两幅QuickBird影像进行算法验证试验，可得到准确的检测结果。本算法可应用于密集城区的建筑物检测，能够有效减少人工判图的工作量。
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| 关 键 词： | 高分辨率遥感影像 面向对象 建筑物提取 |
| 收稿时间： | 2018-07-13 |
| 修稿时间： | 2018-10-10 |
High resolution remote sensing image building extraction in dense urban areas |
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| FANG Xin,CHEN Shanxiong.High resolution remote sensing image building extraction in dense urban areas[J].Bulletin of Surveying and Mapping,2019,0(4):79-83. |
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| Authors: | FANG Xin CHEN Shanxiong |
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| Institution: | School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China |
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| Abstract: | Buildings are an important target of the monitoring of geographical conditions. The rapid and accurate extraction of urban buildings can bring great economic value. Many people have done a lot of work in the building extraction of the city area. On the basis of predecessors' research and aiming at the problems of existing extraction method, this paper proposes an object-based automatic building extraction process in dense urban areas. First, high-resolution remote sensing images are used to get the shadow and quasi building extraction results. Then, build a filter by the spatial location relationship of the shadows and the crude building extraction results to filter the suspected building area. Finally, get a precise building outline through the graph cut algorithm. For algorithm verification experiments, the accurate detection results can be obtained by using two QuickBird images in Wuhan. This algorithm can be applied to the building detections in dense urban areas. |
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| Keywords: | high-resolution satellite image object-based building extraction |
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