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IMAGE FUSION AND IMAGE QUALITYASSESSMENT OF FUSED IMAGES

机译:融合图像的图像融合与图像质量评估

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It is of great value to fuse a high-resolution panchromatic image and low-resolution multi-spectral images for object recognition.In the paper, tow frames of remotely sensed imagery, including ZY03 and SPOT05, are selected as the source data.Four fusion methods,including Brovey, PCA, Pansharp, and SFIM, are used to fuse the images of multispectral bands and panchromatic band.Three quantitative indicators were calculated and analyzed, that is, gradient, correlation coefficient and deviation.According to comprehensive evaluation and comparison, the best effect is SFIM transformation, combined with fusion image through four transformation methods.
机译:熔断高分辨率的全谱图像和用于对象识别的高分辨率的Panchromatic图像和低分辨率多光谱图像具有很大的价值。在纸质中,选择遥感图像的牵引框架,包括ZY03和Spoto05,作为源数据.FURE融合方法,包括Brovey,PCA,Pansharp和SFIM,用于熔断多光谱带和全色频带的图像。计算和分析了三种定量指标,即梯度,相关系数和偏差。根据综合评估和比较,最佳效果是SFIM转换,通过四种转换方法结合融合图像。

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