ETM+遥感影像最佳波段融合质量评价

Fusion of ETM+ Image Optimal Bands Composite and Its Quality Evaluation

  • 摘要: 利用最佳指数(OIF)法得出泉州市2001年ETM+遥感数据的最佳波段组合为波段5、4、2;采用乘积变换、Brovey变换、HIS变换、小波变换等4种典型的融合方法,分别进行ETM+最佳波段组合影像与ETM+全色波段影像的融合;计算融合后影像与原始影像之间的相关系数,从空间相关系数、光谱相关系数2个方面进行定量和定性评价.结果表明,Brovey融合后的影像信息损失最小、对于光谱保真性最好,小波变换融合方法次之;而小波变换融合后影像对于空间分辨率的改善效果最好,Brovey融合方法次之.针对本研究区,在4种融合方法中,Brovey变换和小波变换融合方法是最佳的选择

     

    Abstract: The optimum index factor(OIF) method was taken to determine the optimal bands combination, and the results indicated that bands 5,4,2 in the ETM+ remote sensing data was the optimal combination. Then, four fusion algorithms were taken based on the optimal bands combination and the panchromatic band of ETM+ remote sensing data by four fusion algorithms including multiplicative transformation, brovey transformation, HIS transformation, wavelet transformation. The results of different fusion methods were evaluated qualitatively and quantitatively by comparison with the correlation between the original image and the fused images.The results indicated that wavelet transformation was the best method to improve the spatial resolution.The brovey transformation took the second place.The brovey transformation was the best method to maintain the spectral quality, and the wavelet transformation took the second place. So, the brovey transformation and wavelet transformation were selected.

     

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