文章基本信息

标题：The Fusion of Remote Sensing Images Based on Lifting Wavelet Transformation
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作者：Wei Zhang ; Qin Huang ; Zhenkun Wang 等
期刊名称：Computer and Information Science
印刷版ISSN：1913-8989
电子版ISSN：1913-8997
出版年度：2009
卷号：2
期号：1
页码：69
DOI：10.5539/cis.v2n1P69
出版社：Canadian Center of Science and Education
摘要：Normal 0 7.8 ? 0 2 false false false MicrosoftInternetExplorer4  /* Style Definitions */ table.MsoNormalTable {mso-style-name:????; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-fareast-font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;} The fusion of remote sensing images has become one of the new hotspots in recent years . It can not only improve spatial resolution effectively, but can keep the integrity of the multi-spectral image. In this paper, we take the Hangzhou area as an example and put forward a new image fusion based on lifting wavelet transformation, and carry out the qualitative and quantitative comparison to the spatial characteristics and spectral characterist ics with traditional fusion methods, such as IHS transform, PCA transform and Brovey transform. The results show that by lifting scheme wavelet transformation the characteristics and information of the fusion image have been preserved greatly, and the spatial quality of the original image has been better improved. Furthermore, this method is much simpler and easier.