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论文:2012,Vol:30,Issue(6):926-930 |
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引用本文: |
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李旭, 何明一. 一种基于对应分析的WorldView-2遥感图像融合算法[J]. 西北工业大学 |
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Li Xu, He Mingyi. An Effective Pansharpening Algorithm Based on Correspondence Analysis for WorldView-2 Imagesc[J]. Northwestern polytechnical university |
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一种基于对应分析的WorldView-2遥感图像融合算法 |
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李旭, 何明一 |
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西北工业大学 电子信息学院, 陕西 西安 710129 |
摘要: |
文章针对新型WorldView-2遥感图像提出了一种基于对应分析的全色光与多光谱图像融合新算法。该算法利用对应分析将八波段多光谱图像变换至成分空间,然后通过成分图像将全色光图像的空间细节信息注入成分空间,经反变换后得到融合结果。实验结果表明,该算法在融合World-View-2遥感图像时能够在提高空间分辨率和保持光谱信息方面达到较好的平衡,优于现有的几种融合算法。 |
关键词:
图像融合
对应分析
多光谱图像
全色光图像
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An Effective Pansharpening Algorithm Based on Correspondence Analysis for WorldView-2 Imagesc |
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Li Xu, He Mingyi |
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Department of Electronics Engineering,Northwestern Polytechnical University,Xi'an 710072,China |
Abstract: |
Sections 1 and 2 of the full paper explain our algorithm mentioned in the title,which we believe is newand effective and whose core consists of: (1) it employs correspondence analysis to transform the 8-band multispec-tral data into the component space; (2) the spatial details of panchromatic image are injected into the space withmultispectral data decomposed into sub-images; (3) the fused results are obtained as a single inverse transform.The experimental results,presented in Fig. 3,and their analysis show preliminarily that our algorithm produces in-deed a better trade-off between the spatial resolution enhancement and the spectral information preservation thansome existing fusion algorithms. |
Key words:
algorithms
efficiency
experiments
flowcharting
image fusion
inverse problems
spectral resolu-tion;correspondence analysis
multispectral image
panchromatic image
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收稿日期: 2011-12-15
修回日期:
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DOI: |
基金项目: 国家自然科学基金重点项目(60736007);西北工业大学基础研究基金(JC20110263)资助 |
通讯作者:
Email: |
作者简介: 李旭(1979-),西北工业大学讲师、博士,主要从事多传感器信息融合研究。
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作者相关文章 |
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李旭 在本刊中的所有文章 |
何明一 在本刊中的所有文章 |
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参考文献: |
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[1] El-Mezouar M C,Taleb N,Kpalma K,and Rosin J.An IHS-Based Fusion for Color Distortion Reduction and Vegetation En-hancement in IKONOS Imagery.IEEE Trans on Geoscience and Remote Sensing, 2011, 49(5): 1590-1602 [2] Julia L,Luis C,Luis A,Luis G,Jose M,and Gustavo V.Regularized Multiresolution Spatial Unmixing for ENVISAT/MERISand Landsat/TM Image Fusion.IEEE Geoscience and Remote Sensing Letters, 2011, 8(5): 844-848 [3] Alparone L,Wald L,Chanussot J,Thomas C,Gamba P,and Bruce L.Comparison of Pansharpening Algorithms: Outcome ofthe 2006 GRS-S Data-Fusion Contest.IEEE Trans on Geoscience and Remote Sensing, 2007, 45(10): 3012-3021 [4] Zhang Daoming,Zhang Xianda.Pansharpening through Proportional Detail Injection Based on Generalized Relative Spectral Re-sponse.IEEE Geoscience and Remote Sensing Letters, 2011, 8(5): 978-982 [5] Padwick C, Deskevich M, Pacifici F, and Smallwood S.WorldView-2 Pansharpening.Proceedings of ASPRS 2010 Annual Con-ference,San Diego,California, 2010 [6] Cakir H I,Khorram S,and Nelson S.Correspondence Analysis for Detection Land Cover Change.Remote Sensing of Environ-ment, 2006, 102(3): 306-317 [7] Tu Teming,Su Shunchi,Shyu Hsuenchyun,and Huang P S.A New Look at IHS-like Image Fusion Methods.Information Fu-sion, 2001, 2(3): 177-186 [8] Kim Y,Lee C,Han D,Kim Y,and Kim Y.Improved Additive-Wavelet Image Fusion.IEEE Geoscience and Remote SensingLetters, 2011, 8(2): 263-267 [9] Mahyari A G,Yazdi M.Panchromatic and Multispectral Image Fusion Based on Maximization of Both Spectral and Spatial Simi-larities.IEEE Trans on Geoscience and Remote Sensing, 2011, 49(6): 1976-1985 |
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