| 面向对象的高分辨率影像特征选择研究 |
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| 引用本文： | 张俊,于庆国,朱晓东,刘恺.面向对象的高分辨率影像特征选择研究[J].测绘科学,2011,36(3):141-143. |
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| 作者姓名： | 张俊 于庆国 朱晓东 刘恺 |
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| 作者单位： | 1. 国家测绘局第三地形测量队,哈尔滨,150081
2. 国家测绘局黑龙江基础地理信息中心,哈尔滨,150081 |
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| 基金项目： | 西部测图项目; 国家自然科学基金重点项目(50534050),国家自然科学基金资助项目(50774080) |
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| 摘 要： | 本文主要研究面向对象的高分辨影像信息提取中的特征选择问题.文中分别选择光谱、纹理、形状等特征57个和28个进行特征优化,得到两组分别由46个和4个特征组成的不同的最优特征集,并利用这些特征集采用K近邻、模糊与K近邻级联两种不同的面向对象分类策略进行分类研究.最后从合理性、效率和精度三方面进行了对比分析.实验结果表明,对...
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| 关 键 词： | 高分辨率遥感 面向对象 K近邻 特征优化 |
Object-oriented features space optimization of high spatial resolution remote sensing image |
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| ZHANG Jun,YU Qing-guo,ZHU Xiao-dong,LIU Kai.Object-oriented features space optimization of high spatial resolution remote sensing image[J].Science of Surveying and Mapping,2011,36(3):141-143. |
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| Authors: | ZHANG Jun YU Qing-guo ZHU Xiao-dong LIU Kai |
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| Institution: | ①(①No.3 Topographic Survey Team of SBSM,Harbin 150081,China;②Heilongjiang Geomatics Center of SBSM,Harbin 150081,China) |
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| Abstract: | In this paper,object-oriented features space optimization of high spatial resolution remote sensing image classification was discussed.Two different groups of features space were optimized by 46 and 4 features from 57 and 28 disparate texture,shape and structure information of image objects,and were used to extract information by two different object-oriented classification strategies: K nearest neighbor classification,cascade connection of fuzzy classification and K nearest neighbor classification.The expe... |
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| Keywords: | high spatial resolution remote sensing object-oriented K nearest neighbor features space optimization |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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