| Pleiades-1卫星影像的图像融合方法研究 |
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| 引用本文： | 廖丹,;王永东,;李天坤,;李廷轩.Pleiades-1卫星影像的图像融合方法研究[J].测绘与空间地理信息,2014(8):59-63. |
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| 作者姓名： | 廖丹 ;王永东 ;李天坤 ;李廷轩 |
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| 作者单位： | [1] 四川农业大学资源环境学院,四川成都611130; [2] 四川省第一测绘工程院,四川成都610100; [3] 四川农业大学都江堰校区,四川都江堰611180 |
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| 基金项目： | 四川省科技支撑项目（2013NZ0044）;四川省科技厅应用基础项目（2010JY0083）资助 |
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| 摘 要： | 图像融合可以提高原始图像的质量、增加可视性效果、充分挖掘影像特征,为影像后期的深入分析提供数据支撑,但现有与Pleiades-1卫星影像有关的图像融合方法还甚为少见。因此,本文以遥感处理软件(ENVI4.8)为处理平台,采用该软件自身提供的HSV,Brovey,PC,Gram-Schmidt,Color normalized,PAN Sharpening变换6种融合方法对Pleiades-1卫星影像进行融合处理,经主观评价和定量评价后可以看出,Gram-Schmidt变换能明显提高原始图像的质量,融合后的效果最好,因此Gram-Schmidt变换是Pleiades-1卫星影像最佳的融合方法。
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| 关 键 词： | Pleiades卫星影像 图像融合处理 定量评价 |
Study on Method of Pleiades -1 Satellite Images Fusion |
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| Institution: | LIAO Dan, WANG Yong-dong, LI Tian-kun, LI Ting-xuan (1. College of Resource and Environmental Science, Sichuan Agricultural University, Chengdu 611130, China; 2. First Surveying and Mapping Engineering Institute of Sichuan Province, Chengdu 610100, China; 3. Dujiangyan Campus, Sichuan Agricultural University, Dujiangyan 611180, China) |
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| Abstract: | The image fusion technology can improve the quality of the original image , increase visibility and fully tap the image fea-tures, which can provide tech -support for later detailed image analysis .However, little this kind of research has been seen to Peia-des-1 satellite imagery.So based on remote sensing processing software （ENVI4.8）, this article adapted six kinds of fusion methods it provided including： HSV transformation .Brovey transformation , Gram -Schmidt transformation , Principle Analysis component transformation , Color normalized transformation and PAN Sharpening to deal with the fusion of satellite images .After having subjective evaluation and quantitative evaluation , it was concluded that Gram-Schmidt transformation can significantly improve the quality of the original image with the best fusion results .So the Pleiades -1 satellite image optimal fusion method is Gram -Schmidt transformation . |
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| Keywords: | Pleiades-1 satellite image image fusion quantitative evaluation |
| 本文献已被 CNKI 维普 等数据库收录！ |
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