| 基于支持向量机的SPIN－2影像与SPOT－4多光谱影像融合研究 |
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| 引用本文： | 赵书河,冯学智,都金康,林广发.基于支持向量机的SPIN－2影像与SPOT－4多光谱影像融合研究[J].遥感学报,2003,7(5):407-411. |
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| 作者姓名： | 赵书河 冯学智 都金康 林广发 |
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| 作者单位： | 南京大学,城市与资源系,江苏,南京,210093 |
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| 基金项目： | 国家自然科学基金项目 (编号 :40 1710 15 )资助 |
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| 摘 要： | 遥感影像融合是解决多源海量数据富集表示的有效途径之一。针对高分辨率遥感数据SPIN-2(2m)与多光谱遥感数据SPOT-4(20m)的影像融合，提出了基于支持向量机(SVM)的遥感影像融合的新方法。建立了基于SVM的遥感影像融合模型，并进行了分类融合实验，实验效果较好。最后给出了分类融合评价。结果表明，支持向量机可用于遥感影像融合，且分类融合精度较高。
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| 关 键 词： | 向量机 SPOT-4多光谱影像 SPIN-2影像 影像融合 全色影像 SVM |
| 文章编号： | 1007-4619(2003)05-0407-05 |
| 收稿时间： | 2002/6/16 0:00:00 |
| 修稿时间： | 2002年6月16日 |
SPIN-2 Panchromatic and SPOT-4 Multi-Spectral Image Fusion Based on Support Vector Machine |
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| ZHAO Shu-he,FENG Xue-zhi,DU Jin-kang and LIN Guang-fa.SPIN-2 Panchromatic and SPOT-4 Multi-Spectral Image Fusion Based on Support Vector Machine[J].Journal of Remote Sensing,2003,7(5):407-411. |
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| Authors: | ZHAO Shu-he FENG Xue-zhi DU Jin-kang and LIN Guang-fa |
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| Abstract: | Remote Sensing image fusion is an effective way to use the large volume of data from multi-source images.This paper introduces a new method of remote sensing image fusion based on support vector machine (SVM), using high spatial resolution data SPIN-2 and multi-spectral remote sensing data SPOT-4.First the new method is established by building a model of remote sensing image fusion based on SVM.Then using SPIN-2 data and SPOT-4 data, to test image classification fusion.Finally, an evaluation of the fusion result is made in two ways: (1)From subjectivity assessment, the spatial resolution of the fused image is improved compared to the SPOT-4, and it is clearly that the texture of the fused image is distinctive; (2)From quantitative analysis, the effect of classification fusion is better.As a whole, the result shows that the accuracy of image fusion based on SVM is high and the SVM algorithm can be recommended for application in remote sensing image fusion processes. |
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| Keywords: | image fusion SVM multi-spectral image panchromatic image |
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