高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

一种超高分辨率遥感图像融合新算法

李旭 何明一 MichelRoux 卫保国

李旭, 何明一, MichelRoux, 卫保国. 一种超高分辨率遥感图像融合新算法[J]. 电子与信息学报, 2009, 31(12): 2886-2891. doi: 10.3724/SP.J.1146.2008.01684
引用本文: 李旭, 何明一, MichelRoux, 卫保国. 一种超高分辨率遥感图像融合新算法[J]. 电子与信息学报, 2009, 31(12): 2886-2891. doi: 10.3724/SP.J.1146.2008.01684
Li Xu, He Ming-yi, Michel Roux, Wei Bao-guo. A New Algorithm for Fusing Very High Resolution Remote Sensing Images[J]. Journal of Electronics & Information Technology, 2009, 31(12): 2886-2891. doi: 10.3724/SP.J.1146.2008.01684
Citation: Li Xu, He Ming-yi, Michel Roux, Wei Bao-guo. A New Algorithm for Fusing Very High Resolution Remote Sensing Images[J]. Journal of Electronics & Information Technology, 2009, 31(12): 2886-2891. doi: 10.3724/SP.J.1146.2008.01684

一种超高分辨率遥感图像融合新算法

doi: 10.3724/SP.J.1146.2008.01684
基金项目: 

国家自然科学基金(60572097,60736007)和陕西省自然科学基金(2007F22)以及西北工业大学基础研究计划资助课题

A New Algorithm for Fusing Very High Resolution Remote Sensing Images

  • 摘要: 该文针对超高分辨率的全色光图像和多光谱图像的融合,提出了一种基于对应分析的图像融合新算法。该算法在对多光谱数据进行对应分析的基础上,利用冗余小波变换提取出全色光图像的空间细节信息并将其融入到成分空间。实验分别采用IKONOS和QuickBird数据,融合结果的目视效果与客观评价表明,相比现有同类融合方法,该方法能够在提高空间分辨率的同时更好地保持光谱特性,有效地减少了色彩失真的现象。
  • Wald L. Some terms of reference in data fusion[J].IEEETransactions on Geoscience and Remote Sensing.1999, 37(3):1190-1193[2]Tu Te-ming, Cheng Wen-chun, Chang Chien-ping, Huang P S,and Chang Jyh-chian. Best tradeoff for high-resolution imagefusion to preserve spatial details and minimize colordistortion[J].IEEE Geoscience and Remote Sensing Letters.2007, 4(2):302-306[3]Kalpoma K A and Kudoh Jun-ichi. Image fusion processingfor IKONOS 1-m color imagery[J].IEEE Transactions onGeoscience and Remote Sensing.2007, 45(10):3075-3086[4]Khan M M, Chanussot J, Condat L, and Montanvert A.Indusion: Fusion of multispectral and panchromatic imagesusing the induction scaling technique[J].IEEE Geoscience andRemote Sensing Letters.2008, 5(1):98-102[5]Garzelli A, Nencini F, and Capobiano L. Optimal MMSE pansharpening of very high resolution multispectral images[J].IEEE Transactions on Geoscience and Remote Sensing.2008,46(1):228-236[6]Malpica J A. Hue adjustment to IHS pan-sharpenedIKONOS imagery for vegetation enhancement[J].IEEEGeoscience and Remote Sensing Letters.2007, 4(1):27-31[7]Sirguey P, Mathieu R, Arnaud Y, Khan M M, and ChanussotJ. Improving MODIS spatial resolution for snow mappingusing wavelet fusion and ARSIS concept[J].IEEE Geoscienceand Remote Sensing Letters.2008, 5(1):78-82[8]Tu Te-ming, Huang P S, Hung Chung-ling, and ChangChien-ping. A fast intensity-hue-saturation fusion techniquewith spectral adjustment for IKONOS imagery[J].IEEEGeoscience and Remote Sensing Letters.2004, 1(4):309-312[9]Nunez J, Otazu X, Fors O, Prades A, Pala V, and Arbiol R.Multiresolution-based image fusion with additive waveletdecomposition[J].IEEE Transactions on Geoscience andRemote Sensing.1999, 37(3):1204-1211[10]Zhang Yun and Hong Gang. An IHS and wavelet integratedapproach to improve pan-sharpening visual quality of naturalcolor IKONOS and QuickBird images[J].Information Fusion.2005, 6(3):225-234[11]Cakir H I. Development and assessment of advanced datafusion algorithms for remotely sensed data. [Ph.D.dissertation], North Carolina State University, Raleigh, 2003.[12]Mallat S G. A theory for multiresolution signaldecomposition: The wavelet representation[J].IEEETransactions on Pattern Analysis and Machine Intelligence.1989, 11(7):674-693[13]Shensa M J. The discrete wavelet transform: Wedding the trous and Mallat algorithms[J].IEEE Transactions on SignalProcessing.1992, 40(10):2464-2482[14]Li Xu, Roux Michel, He Ming-yi, and Schmidt F. A newmethod of image fusion based on redundant wavelettransform. IET Proceedings of the 5th InternationalConference on Visual Information Engineering, Xian China,29 July-1 August 2008: 12-17.[15]张易凡, 何明一. 综合有向纹理特征及其在多光谱图像融合中的应用[J].电子与信息学报.2007, 29(1):81-86浏览[16]Wald L, Ranchin T, and Mangolini M. Fusion of satelliteimages of different spatial resolutions: Assessing the qualityof resulting images[J].Photogrammetric Engineering RemoteSensing.1997, 63(6):691-699
  • 加载中
计量
  • 文章访问数:  3606
  • HTML全文浏览量:  69
  • PDF下载量:  1165
  • 被引次数: 0
出版历程
  • 收稿日期:  2008-12-11
  • 修回日期:  2009-05-11
  • 刊出日期:  2009-12-19

目录

    /

    返回文章
    返回