| 基于遥感影像的像素级影像融合方法比较研究 |
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| 引用本文： | 郭秋,刘贺春,郭赛红. 基于遥感影像的像素级影像融合方法比较研究[J]. 山西建筑, 2014, 0(27): 210-211 |
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| 作者姓名： | 郭秋 刘贺春 郭赛红 |
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| 作者单位： | 河南理工大学;晋中职业技术学院;山西华晋岩土工程勘察有限公司;中化二建集团有限公司 |
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| 摘 要： | 从理论上介绍了四种不同的融合方案算法的基本情况,以及定性和定量评价方法,再以皖北钱营孜矿区2009年的年高分辨SPOT影像(2.5 m)和ALOS多光谱影像(10 m)采用不同融合模型进行了实验,最终以灰度剖面曲线评价了融合结果,指出Gram-Schmidt融合方法是最好的选择。
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| 关 键 词： | 遥感 像素级 影像融合 精度评价 |
Compraison on methods of remote sensing image fusion in pixel level |
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| Affiliation: | GUO Qiu,LIU He-chun,GUO Sai-hong(1. Henan Polytechnic University, Jiaozuo 454100, China ; 2. Jinzhong Vocational ＆ Technical College, Jinzhong 030600, China; 3. Shanxi Huajin Engineering Reconnaissance Ltd , Taiyuan 030021, China; 4. China Chemical Engineering Second Construction Corporation, Taiyuan 030021, China) |
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| Abstract: | This paper first introduces four different image fusion methods in theory. Following by the qualitative and quantitative evaluation meth-ods. Then fusion experiments were conducted with the SPOT and ALOS image of Qianyingzi mine area in 2009 by using aforementioned fusion methods. From this evaluation,the paper conclude that Gram-Schmidt method is the best model in comprehensive consideration. |
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| Keywords: | remote sensing pixel level images fusion accuracy assessment |
| 本文献已被 CNKI 维普 等数据库收录！ |
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