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《Geography and Geo-Information Science》 2011-04
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Response of Urban Landscape Images Fusion to the Wavelet Basis Selection

CHEN Ying-biao1,GUO Guan-hua1,WU Zhi-feng1,2,WEI Jian-bing2 (1.School of Geographical Sciences,Guangzhou University,Guangzhou 510006;2.Guangdong Institute of Eco-environment and Soil Sciences,Guangzhou 510650,China)  
Wavelet basis selection plays an important role in the fusion algorithm of integration of wavelet transform and IHS in remote images fusion.However,response of remote images which contain various land use or landscape information to the wavelet basis selection should obtain more attention when this fusion method is used.In this paper,to deeply explore the difference performance of fusion results from different landscape images by diversified clusters of wavelet and wavelet basis,lots of high and low density buildings of urban landscape images samples were cut out from SPOT panchromatic data and multi-spectral data.The integration of wavelet transform and IHS was adopted and several indices for images performance including entropy,average gradient and deviation were calculated.Results showed that the fusion images performance have a close relationship to the landscape information included in the raw images,and the performance showed quite different according to indices.The variability of performance with rbioNr.Nd using showed more remarkable than the others clusters of wavelet to these two kinds of landscape images.The fluctuate characteristic of indices curves for tow types landscape images showed obvious difference.And those differences just arise in the given series of wavelet basis.With the analysis giving from this paper,the best wavelet basis could be chose when the specific landscape images and composition level was set.This paper supports better understanding of the fusion algorithm and makes its application simpler.
【Fund】: 中国科学院资源与环境信息系统国家重点实验室开放研究基金项目(A0710、2010KF0006SA);; 国家自然科学基金项目(40871229);; 广东省自然科学基金项目(9151065003000000)
【CateGory Index】: TP751
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