| 基于对象级的ADS40遥感影像分类研究 |
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| 引用本文： | 闫利, 聂倩, 胡文元, 崔晨风. 基于对象级的ADS40遥感影像分类研究[J]. 武汉大学学报 ( 信息科学版), 2009, 34(2): 183-186. |
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| 作者姓名： | 闫利 聂倩 胡文元 崔晨风 |
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| 作者单位： | 1武汉大学测绘学院,武汉市珞喻路129号430079;2山西省工程测绘院,太原市鱼池街9号030002 |
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| 基金项目： | 国家自然科学基金，国家高技术研究发展计划(863计划)，国家创新研究群体科学基金 |
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| 摘 要： | 针对ADS40影像的空间分辨率高而光谱分辨率相对不足的特点,提出了一种基于多尺度分割的对象级遥感分类方法。首先通过多尺度分割获得影像对象,然后利用对象所包含的光谱特征、几何特征、拓扑特征来确定地物识别中可能要用到的各种特征参数,并建立对象间的分类层次结构图,最后利用模糊分类器逐级分层分类来提取地物信息。研究结果表明,面向对象的分类方法与传统方法相比,可显著提高分类精度,有效抑制“椒盐现象”的产生,更加适合于几何信息和结构信息丰富的ADS40影像的自动识别分类。通过对太原市ADS40影像进行分类验证了此方法的有效性。
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| 关 键 词： | 面向对象分类 多尺度分割 ADS40影像 |
| 收稿时间： | 2008-12-19 |
| 修稿时间： | 2008-12-19 |
Object-Oriented Approach for ADS40 Image Classification |
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| YAN Li, NIE Qian, HU Wenyuan, CUI Chenfeng. Object-Oriented Approach for ADS40 Image Classification[J]. Geomatics and Information Science of Wuhan University, 2009, 34(2): 183-186. |
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| Authors: | YAN Li NIE Qian HU Wen-yuan CUI Chen-feng |
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| Affiliation: | 1School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road,Wuhan 430079,China, 2Institute of Shanxi Surveying and Mapping,9 Yuchi Street,Taiyuan 030002,China |
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| Abstract: | ADS40 images with high spatial resolution have many more spatial characteristics than low-resolution image except spectral characteristics.We introduced a object-oriented classification method based on multi-scale segmentation to classify ADS40 image of Taiyuan City.Firstly,the whole image is multi-scale segmented to get objects.Then,The features of objects,such as spectral,geometrical and topological characteristics,were measured.The hierarchical structure for classification was built.Finally,we applied a fuzzy rule classifier to extract the classification information of ADS40 images.The research shows that the object-oriented method can improve the overall classification accuracy of ADS40 images,reduce the Pepper and Salt' Pheomenon effectively,and meet the requirement of ADS40 images classification compared with classical classification approaches. |
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| Keywords: | object-oriented classification multi-scale segmentation ADS40 image |
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