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《Geo-Information Science》 2008-05
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Method of Fused Image Based on IHS and Wavelet Transform and Realization in MATLAB

LIU Lijuan,FAN Wenyi (School of Forestry,Northeast Forestry University,Harbin 150040,China)  
In order to improve eye-interpretation effect of multi-spectral images of Landsat series,an integrated technique based on IHS and wavelet transformation is proposed in this paper.For increasing relativity and decreasing spectral deviation,firstly,under the developing environment of Matlab,the intensity component of multi-spectral image and the panchromatic image histogram match each other,and then decompose respectively using wavelet,finally fuse images by special rules.Among the rules,the most important thing is the choice of wavelet bases,wavelet decomposed layers and wavelet coefficients.In order to choose the best parameters,the author carries out repeated experiments using assessment parameters: mean value,standard deviation,average gradient,correlation coefficient and spectral distortion.Compared with other parameters,wavelet base of coif5 made better fusing result in this paper.Therefore,parameters are fixed on coif5 and decomposed of three layers,and reconstructed coefficients based on regional standard difference.The experiment indicates that the proposed method is much better than single transform of IHS or wavelet.Observed from the fused image,the lines and details of road,river,farm and forest are improved obviously.At the same time,the higher correlation coefficient and the lower spectral distortion show that spectral information is kept down well.The experiment through fused ETM+ multi-spectral and panchromatic images verified the method of the author proposed is feasible,the result is not only improved obviously in spatial resolution,but also preserves multi-spectral information effectively.
【Fund】: 国家高技术研究发展计划863计划2006AA12Z104;; 黑龙江省攻关课题“嫩江荒漠化土地遥感定量评价研究”(GC04B713)
【CateGory Index】: P237
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