| 基于CBERS-1图像的干旱半干旱区土地利用分类 |
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| 引用本文： | 刘爱霞,刘正军,王长耀,牛铮.基于CBERS-1图像的干旱半干旱区土地利用分类[J].中国科学院研究生院学报,2003,20(3):334-340. |
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| 作者姓名： | 刘爱霞 刘正军 王长耀 牛铮 |
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| 作者单位： | 中国科学院遥感应用研究所遥感信息科学重点实验室,北京,100101 |
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| 基金项目： | 国家科技攻关计划项目(2 0 0 1DFBA0 0 0 5)，中国科学院知识创新工程重大项目——中国陆地和近海生态系统碳收支研究(KZCX1 SW 0 1)资助 |
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| 摘 要： | 以中巴资源卫星CBERS 1图像数据为信息源,分别采用最大似然法、BP神经网络和Fuzzy ARTMAP神经网络 3种分类器,以位于干旱区的中国新疆石河子地区为例,进行了土地利用计算机自动分类。结果认为,3种方法中以Fuzzy ARTMAP神经网络法分类精度最高,分别比最大似然法和BP神经网络法提高了 1 0.69%和 6.84%。同时也证实了CBERS 1图像在土地利用调查中的实用性
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| 关 键 词： | CBERS-1图像 BP神经网络 Fuzzy-ARTMAP神经网络 土地利用分类 |
| 修稿时间： | 2002年10月9日 |
Landuse Classification in Arid and Semi-Arid Areas Using CBERS-1 Imagery |
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| LIU Ai,XiaLIU Zheng,JunWANG Chang,YaoNIU Zheng.Landuse Classification in Arid and Semi-Arid Areas Using CBERS-1 Imagery[J].Journal of the Graduate School of the Chinese Academy of Sciences,2003,20(3):334-340. |
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| Authors: | LIU Ai XiaLIU Zheng JunWANG Chang YaoNIU Zheng |
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| Abstract: | Discussed and analyzed results of different classification algorithms for land use classification in arid and semiarid areas using CBERS 1 image, Which in case of our study is Shihezi Municipality, Xinjiang Province. Three types of classifiers are included in our experiment, including the Maximum Likelihood classifier, BP neural network classifier and Fuzzy ARTMAP neural network classifier. The classification results showed that the classification accuracy of Fuzzy ARTMAP was the best among three classifiers, increased by 10.69% and 6.84% than Maximum likelihood and BP neural network, respectively. Meanwhile, the result also confirmed the practicability of CBERS 1 image in land use survey. |
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| Keywords: | CBERS 1 image BP neural network Fuzzy ARTMAP neural network land use classification |
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