| 基于高分辨率遥感影像的城市建设区提取 |
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| 引用本文： | 郭舟,杜世宏,张方利.基于高分辨率遥感影像的城市建设区提取[J].北京大学学报(自然科学版),2013,49(4):635. |
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| 作者姓名： | 郭舟 杜世宏 张方利 |
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| 作者单位： | 北京大学遥感与地理信息系统研究所, 北京 100871; |
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| 基金项目： | 国家科技重大专项"高分辨率对地观测系统"，教育部新世纪优秀人才支持计划 |
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| 摘 要： | 以北京市部分区域的QuickBird影像为实验数据, 运用面向对象的影像分析手段, 研究城市建设区的自动识别和提取方法。在分析城市建设区特征的基础上, 采用在低分辨率影像上粗提取, 在高分辨率影像上精提取相结合的技术, 提高提取精度。经过与目视判读结果的对比, 城市建设区的识别率达到89.7%, 误判率为27.6%。
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| 关 键 词： | 高分辨率影像 城市建设区 面向对象 影像分析 |
| 收稿时间： | 2012-06-27 |
Extracting Municipal Construction Zones from High-Resolution Remotely Sensed Image |
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| GUO Zhou,DU Shihong,ZHANG Fangli.Extracting Municipal Construction Zones from High-Resolution Remotely Sensed Image[J].Acta Scientiarum Naturalium Universitatis Pekinensis,2013,49(4):635. |
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| Authors: | GUO Zhou DU Shihong ZHANG Fangli |
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| Institution: | Institute of Remote Sensing and Geographical Information System, Peking University, Beijing 100871; |
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| Abstract: | QuickBird image covering part of Beijing City is taken as a source. Object-oriented image analysis method is used to extract automatically the MCZ (municipal construction zones). On the basis of analyzing the characteristics of MCZ, a method combining low- and high-resolution images is presented. At low-resolution image, the crude extents of MCZ are identified; at high-resolution image, the crude extents are refined further. Compared with the visual interpretation result, the precision is about 89.7%, and the miscarriage of justice rate is about 27.6%. |
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| Keywords: | high-resolution remotely sensed image municipal construction zones object-oriented image analysis |
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