| 基于分类方法的泉州湾湿地信息提取 |
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| 引用本文： | 罗彩莲,谭芳林,陈杰,乐通潮.基于分类方法的泉州湾湿地信息提取[J].福建林业科技,2007,34(3):122-126. |
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| 作者姓名： | 罗彩莲 谭芳林 陈杰 乐通潮 |
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| 作者单位： | 福建省林业科学研究院,福建,福州,350012 |
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| 基金项目： | 福建省自然科学基金计划资助项目(项目编号:2006J0276) |
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| 摘 要： | 对2002年3月7日的泉州湾湿地ETM+卫星影像采用SFIM融合法、PCA融合法、Brovey融合法和IHS融合法对多光谱影像和全色波段进行融合,并进行融合影像评价,选取融合效果最好的SFIM融合影像进行进一步分析。将ETM+原始未融合影像与SFIM融合影像采用相同分类模板、相同波段和相同分类方法进行分类。研究表明,2种方法提取的泉州湾湿地信息精度都满足精度要求;而SFIM融合影像的分类精度有所提高,但效果不是很明显,这可能是因为湿地地物类型相对较简单,各地物间的可分性相对较高的缘故。
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| 关 键 词： | 泉州湾湿地 信息提取 遥感 融合 分类 |
| 文章编号： | 1002-7351（2007）03-0122-05 |
| 修稿时间： | 2007-03-31 |
Information collection of Quanzhou Bay wetland based on classification method |
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| LUO Cai-lian,TAN Fang-lin,CHEN Jie,LE Tong-chao.Information collection of Quanzhou Bay wetland based on classification method[J].Journal of Fujian Forestry Science and Technology,2007,34(3):122-126. |
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| Authors: | LUO Cai-lian TAN Fang-lin CHEN Jie LE Tong-chao |
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| Institution: | Fujian Academy of Forestry, Fuzhou, Fujian 350012, China |
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| Abstract: | This paper mainly used remote sensing technology to collect the Quanzhou Bay wetland information.It merged ETM multi-spectral image and Pan image with SFIM fusion method,PCA fusion method,Brovey fusion method and IHS fusion method,then estimated the four fusion images' quality,and selected the SFIM fusion image which was the best fusion image for the next following analysis.It classified the original ETM image and SFIM fusion image with Maximum Likelihood classification.The study indicated that the two images were both good in precision for collecting Quanzhou Bay information.The classification precision of SFIM fusion image was a little higher than that of original ETM multi-spectral image,but not very obvious.This was mainly because wetland type was relatively simple;the separability among different wetland types was relatively high. |
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| Keywords: | Quanzhou Bay wetland information collection remote sensing fusion classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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