| 基于二代Bandelet和主成分变换的高光谱遥感图像融合 |
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| 引用本文： | 朱卫东,李全海,徐克科,李天子.基于二代Bandelet和主成分变换的高光谱遥感图像融合[J].同济大学学报(自然科学版),2011,39(7):1068-1073. |
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| 作者姓名： | 朱卫东 李全海 徐克科 李天子 |
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| 作者单位： | 1. 同济大学测量与国土信息工程系,上海,200092
2. 河南理工大学测绘与国土信息工程学院,河南焦作,454003 |
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| 基金项目： | 国家杰出青年科学基金（50525414） |
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| 摘 要： | 针对高光谱遥感图像具有波段多、波段间冗余大的特点,提出一种基于二代Bandelet和主成分(principal components analysis,PCA)变换的高光谱遥感图像融合的方法,利用二代Bandelet变换进行图像的多尺度几何分析,得到每个波段图像的Bandelet系数和几何流,对多个波段Bandelet...
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| 关 键 词： | Bandelet变换 主成分分析 正交小波变换 高光谱遥感图像 融合 |
| 收稿时间： | 5/1/2010 7:00:15 PM |
| 修稿时间： | 5/23/2011 4:07:44 PM |
Hyperspectral Remote Sensing Images Fusion Algorithm Based on Second Generation Bandelet and PCA Transform |
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| ZHU Weidong,LI Quanhai,XU Keke and LI Tianzi.Hyperspectral Remote Sensing Images Fusion Algorithm Based on Second Generation Bandelet and PCA Transform[J].Journal of Tongji University(Natural Science),2011,39(7):1068-1073. |
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| Authors: | ZHU Weidong LI Quanhai XU Keke and LI Tianzi |
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| Institution: | The Department of Surveying and Geo-informatics of Tongji University,The Department of Surveying and Geo-informatics of Tongji University |
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| Abstract: | According to the characteristics of hyperspectral remote sensing images such as multi-band and data redundancy,a novel fusion method of hyperspectral remote sensing images based on the second generation Bandelet and PCA transform was proposed.Bandelet transform was performed to gain Bandelet coefficients and geometries of subbands.Then PCA transform was performed to calculate their principal component.Finally,fused images were reconstructed with their principal component by taking inverse Bandelet transform... |
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| Keywords: | Bandelet transform principal component analysis orthogonal wavelet transform hyperspectral remote sensing image fusion |
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