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| 基于主成分融合的遥感影像分区分类方法探讨 | |
| 引用本文： | 申怀飞,胡楠,丁圣彦,李爽.基于主成分融合的遥感影像分区分类方法探讨[J].河南大学学报(自然科学版),2007,37(3):294-299. |
| 作者姓名： | 申怀飞 胡楠 丁圣彦 李爽 |
| 作者单位： | 1. 河南大学,环境与规划学院,河南,开封,475001 2. 河南大学,生态科学与技术研究所,河南,开封,475001 3. 河南大学,环境与规划学院,河南,开封,475001;河南大学,生态科学与技术研究所,河南,开封,475001 |
| 摘 要： | 以丹江口水库库区的典型地段为实验区,在对遥感影像进行主成分融合的基础上,采用分区分类法对影像进行分类. 结果证实与传统的分类方法相比,采用该分类方法后,遥感影像的分类精度有较大幅度的提高,整幅影像的分类精度提高了近12个百分点,特别是在分区效果较好的西北山地区和东南丘陵区,分类精度提高的更多,达到16个百分点左右. |
| 关 键 词： | 主成分融合 分区分类 监督分类 非监督分类 DEM NDVI |
| 文章编号： | 1003-4978（2007）03-0294-06 |
| 修稿时间： | 2006-12-01 |
Discussion of Sub-Region Classification Method Based on Principal Components Fusion |
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| SHEN Huai-fei,HU Nan,DING Sheng-yan,LI Shuang.Discussion of Sub-Region Classification Method Based on Principal Components Fusion[J].Journal of Henan University(Natural Science),2007,37(3):294-299. | |
| Authors: | SHEN Huai-fei HU Nan DING Sheng-yan LI Shuang |
| Institution: | 1.College of Environment and Planning, Henan University, Henan Kaifeng 475001, China;2. Institute of Ecological Science and Technology, Henan University, Henan Kaifeng 475001, China |
| Abstract: | In this paper, a new method, named the sub-region classification method based on principal components fusion was presented to classify remote sensing image. Comparing traditional classification method, the classification accuracy of whole research region enhances 12 percent, especially, in northwest mountains sub-region and southeast puszta sub-region, up to about 16 percent. |
| Keywords: | principal components fusion sub-region classification supervised classification unsupervised classification DEM NDVI |
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