| 基于Quick Bird影像的城市绿地景观信息提取研究 |
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| 引用本文： | 黄树春,李书,薛重生. 基于Quick Bird影像的城市绿地景观信息提取研究[J]. 安徽农业科学, 2007, 35(2): 396-397. DOI: 10.3969/j.issn.0517-6611.2007.02.034 |
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| 作者姓名： | 黄树春 李书 薛重生 |
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| 作者单位： | 中国地质大学研究生院,湖北武汉,430074;中国地质大学研究生院,湖北武汉,430074;中国地质大学研究生院,湖北武汉,430074 |
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| 摘 要： | 以武汉鲁巷快鸟影像为主要数据源,结合地形图及相关社会统计资料,利用多尺度影像分割与监督分类方法、植被指数方法相结合来提取城市绿地景观信息.结果表明:该方法交叉结合能大大地提高提取绿地景观信息的精度,更好地反映城市微观信息,满足现代城市发展的要求.
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| 关 键 词： | Quiek Bird影像 绿地景观 多尺度影像分割 |
| 文章编号： | 0517-6611（2007）02-00396-02 |
| 修稿时间： | 2006-10-17 |
Study on the Extraction Information of Urban Greenery Features Based on Quick Bird Image |
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| HUANG Shu-chun et al. Study on the Extraction Information of Urban Greenery Features Based on Quick Bird Image[J]. Journal of Anhui Agricultural Sciences, 2007, 35(2): 396-397. DOI: 10.3969/j.issn.0517-6611.2007.02.034 |
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| Authors: | HUANG Shu-chun et al |
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| Affiliation: | Graduate School, China Geosciense University, Wuhan, Hubci 430074 |
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| Abstract: | Based on the data source of Quick bird image of Wuhan and combined with relief map and correlation societal statistic datum,information of urban greenery features were extracted from NDVI methods and multi-resolution image segmentation with supervised classification methods.The research showed that cross link with above methods improved the precision of the extraction information of urban greenery features greatly,responded microcosmic information of the city and met the need of modern city development. |
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| Keywords: | Quick Bird image Greenery features Multi-resolution image segmentation |
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