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作 者:陈小瑜[1] 刘志平[1] 郑伟民[1] 陈文成[1]
机构地区:[1]泉州师范学院资源与环境科学学院,福建泉州362000
出 处:《信阳师范学院学报(自然科学版)》2014年第2期218-222,共5页Journal of Xinyang Normal University(Natural Science Edition)
基 金:福建省泉州市科技计划项目(2010Z58);福建省教育厅;财政厅高校服务海西项目(A104)
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.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 da- ta by four fusion algorithms including multiplieative 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.
关 键 词:ETM+影像 OIF指数法 最佳波段组合 相关系数 融合
分 类 号:TP75[自动化与计算机技术—检测技术与自动化装置]
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