| 基于eCognition的面向对象农村公路提取 |
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| 引用本文： | 何勇,陈昌鸣,熊增连,吴亚坤.基于eCognition的面向对象农村公路提取[J].重庆交通大学学报(自然科学版),2012,31(6):1194-1197. |
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| 作者姓名： | 何勇 陈昌鸣 熊增连 吴亚坤 |
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| 作者单位： | 1. 重庆交通大学河海学院,重庆,400074
2. 重庆数字城市科技有限公司,重庆,400020 |
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| 摘 要： | 采用面向对象思想,使用高分辨率CBERS 02B HR全色影像对农村公路进行提取。在对影像进行分割后,综合利用影像对象的光谱信息和几何信息,构建道路提取知识库,并使用道路生长法对提取结果进行完善,增加了道路的完整性。与面向像元的方法对比,该方法能取得较好的精度。
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| 关 键 词： | 面向对象 道路提取 影像分割 eCognition |
Object-Oriented Rural Roads Extraction Based on eCognition |
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| He Yong
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Chen Changming
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Xiong Zenglian
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Wu Yakun.Object-Oriented Rural Roads Extraction Based on eCognition[J].Journal of Chongqing Jiaotong University,2012,31(6):1194-1197. |
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| Authors: | He Yong Chen Changming Xiong Zenglian Wu Yakun |
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| Institution: | 1 (1.School of River & Ocean Engineering,Chongqing Jiaotong University,Chongqing 400074,China; 2.Chongqing Cybercity Science & Technology Co.,Ltd.,Chongqing 400020,China) |
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| Abstract: | By object-oriented thought,the rural roads are extracted by the use of a single band CBERS 02B HR image method.Firstly,the images are segmented.And then the spectral information and object geometry information of images objects are comprehensively applied to build the road extraction knowledge base.Thirdly,the results of rural roads extraction are improved and completed.The results show that better accuracy of road extraction can be obtained by the proposed method,in contrast to the pixel-oriented method. |
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| Keywords: | object-oriented road extraction image segmentation eCognition |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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