| 遥感图像优化迭代非监督分类方法在流域植被分类中的应用 |
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| 引用本文： | 李天平,刘洋,李开源. 遥感图像优化迭代非监督分类方法在流域植被分类中的应用[J]. 城市勘测, 2008, 0(1): 75-77 |
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| 作者姓名： | 李天平 刘洋 李开源 |
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| 作者单位： | 中国科学技术大学,火灾科学国家重点实验室,安徽,合肥,230027;西南交通大学,环境科学与工程学院,四川,成都,610031 |
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| 摘 要： | 介绍了一种新的分类方法——优化迭代非监督分类（OIUC），该方法是对传统非监督分类方法的改进。结合辅助材料，对传统非监督分类方法难以区分的部分的反复提取和细化，最后将细化的分类部分插入到原非监督分类的图像中、，以岷江源头区流域植被分类为应用实例，采用优化迭代非监督分类方法，并取得了令人满意的分类结果。
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| 关 键 词： | 遥感 分类 优化迭代 |
| 文章编号： | 1672-8262（2008）01-75-03 |
| 收稿时间： | 2007-08-13 |
| 修稿时间： | 2007-08-13 |
The Application of Optimal Iteration Unsupervised Classification of Remote Sensing Image in Vegetation Classification of Watershed |
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| Li TianPing,Liu Yang,Li KaiYuan. The Application of Optimal Iteration Unsupervised Classification of Remote Sensing Image in Vegetation Classification of Watershed[J]. Urban Geotechnical Investigation & Surveying, 2008, 0(1): 75-77 |
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| Authors: | Li TianPing Liu Yang Li KaiYuan |
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| Affiliation: | Li TianPing, Liu Yang, Li KaiYuan(1. State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230027, China; 2. School of Environmental Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China) |
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| Abstract: | As a new method of classification, Optimal Iteration Unsupervised Classification （OIUC） is introduced in this paper. With the help of other assistant materials, the sub - scenes that are difficuh to be classified by means of traditional unsupervised classification are extracted for more minute analysis and classification. Then, insert the subscenes e origin scene processed by traditional unsupervised classification. Applied the OIUC in vegetation classification in the Mingjiang river headwater region in 2002, the result is satisfied. |
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| Keywords: | Remote sensing classification optimal iteration |
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