This paper presents a multispectral image fusion method for remote sensing applications by using an improved estimation of detail maps. This estimation is achieved by considering a linear combination of the other MultiSpectral (MS) bands as well as their joint multiplications. A comparison with seven existing methods is carried out based on three public domain datasets and by considering commonly used objective metrics. The results for both Reduced Resolution (RR) and Full Resolution (FR) cases are reported indicating that the introduced method generates improved fusion outcomes compared to the existing methods.

中文翻译：

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基于具有改进细节的地图估计的多光谱图像融合

通过改进细节图的估计，本文提出了一种用于遥感应用的多光谱图像融合方法。通过考虑其他多光谱（MS）频段及其联合乘法的线性组合来实现此估计。基于三个公共领域数据集并考虑了常用的客观指标，与七个现有方法进行了比较。报告了降低分辨率（RR）和全分辨率（FR）情况的结果，表明与现有方法相比，引入的方法产生了更好的融合效果。