| 面向对象的遥感影像植被信息提取技术研究 |
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| 引用本文： | 龚珍,吴浩,黎华.面向对象的遥感影像植被信息提取技术研究[J].安徽农业科学,2012(30):15077-15078. |
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| 作者姓名： | 龚珍 吴浩 黎华 |
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| 作者单位： | 武汉理工大学资源与环境工程学院 |
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| 基金项目： | 国家自然科学基金项目(40901214);国家高技术研究发展计划项目(2009AA12Z201);国家重点基础研究发展计划“973”项目(2006CB701300) |
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| 摘 要： | 在阐述面向对象的遥感分类方法的基本原理和方法的基础上,对2006年武汉市洪山区的遥感影像数据中的植被进行了分类训练和精度评价。为了解决植被中存在的异物同谱的现象采用了阴影消除的方法,同时采用定量测定的方法提取影像中的植被。结果表明,采用面向对象的多尺度分割的植被信息提取精度明显高于非监督分类的分类精度,是一种行之有效的分类提取技术。
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| 关 键 词： | 多尺度 面向对象 影像分割 |
Study on Object-oriented Remote Sensing Image Vegetation Information Extraction Technology |
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| Institution: | GONG Zhen et al(School of Resource and Environment,Wuhan University of Technology,Wuhan,Hubei 430070) |
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| Abstract: | Based on elaborating the basic principle and method of object-oriented remote sensing classification method,the classification training and precision evaluation of vegetation in Hongshan Region,Wuhan City in 2006 were carried out.The shadow removal method was adopted in order to solve the problem of different object with the same spectrum,and the quantification determination method was used to extract vegetation in image.The results showed that,the vegetation information extraction precision by object-oriented multi-scale segmentation is obviously higher than that of non-supervision classification precision,which is an effective extraction technique. |
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| Keywords: | Multi-scale Object-oriented Image segment |
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