| 高空间分辨率遥感影像建筑物提取方法综述 |
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| 引用本文： | 张庆云,赵冬.高空间分辨率遥感影像建筑物提取方法综述[J].测绘与空间地理信息,2015(4):74-78. |
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| 作者姓名： | 张庆云 赵冬 |
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| 作者单位： | 1. 山东科技大学测绘科学与工程学院,山东青岛,266500;2. 中国科学院遥感与数字地球研究所,北京,100101 |
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| 基金项目： | 高分重大科技专项——环境保护遥感动态监测信息服务系统;高分环境应用共性关键技术研究和系统研发(05-Y30B02-9001-13/15-03)资助 |
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| 摘 要： | 高空间分辨率光学遥感影像中建筑物的提取对城市空间数据库的更新、城市动态监测以及建设"智慧城市"等方面具有极其重要的意义。本文首先介绍了高空间分辨率遥感影像中建筑物的特点,然后介绍了基于高空间分辨率遥感影像中建筑物自动提取的四种主要方法,即多尺度分割提取方法;基于边缘和角点检测与匹配的提取方法;基于区域分割的提取方法和基于数学工具;新理论以及多种方法结合的提取方法,分析讨论了各种方法的研究进展以及各方法的优缺点,同时对建筑物提取研究中需要解决的问题和研究趋势进行了总结。最后对高空间分辨率遥感影像建筑物提取研究前景进行了展望,认为可以从多源或多时相数据、边缘检测以及阴影辅助作用等方面提取建筑物,提高建筑物提取精度和高分遥感影像的利用率。
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| 关 键 词： | 高空间分辨率遥感影像 建筑物特征 建筑物提取方法 |
Research on Methods of Building Extraction from High Resolution Remote Sensing Images |
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| ZHANG Qing-yun
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ZHAO Dong.Research on Methods of Building Extraction from High Resolution Remote Sensing Images[J].Geomatics & Spatial Information Technology,2015(4):74-78. |
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| Authors: | ZHANG Qing-yun ZHAO Dong |
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| Institution: | ZHANG Qing-yun;ZHAO Dong;Geomatics College,Shandong University of Science and Technology;Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences; |
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| Abstract: | Building extraction from high resolution remote sensing images was very important for the cities spatial database updates, urban dynamic monitoring and building“smart city”.This paper describes the characteristics of the buildings in high resolution remote sensing images, and then introduces the four main building extraction methods, such as multi-scale segmentation extraction method, based on the edge and corner detecting and matching extraction method;based on region segmentations extraction method, and the ex-traction method that combination mathematical tools or new theories, discussed the research progress and the advantages and disadvan-tages of each method, summarized the problem should be solved and research trends on the building extraction.Have an outlook for the research prospects of the building extraction from high resolution remote sensing images, think that we can extract building from multiple sources or multi-temporal data and boundary edge detection and the supporting role of the shadow to improve the accuracy of building extraction, to improve the accuracy of building extraction and the utilization of high resolution of remote sensing images. |
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| Keywords: | high resolution remote sensing images building features building extraction method |
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