A comparison between the results of PCA, KPCA and MFCM+KPCA methods is given, which shows that the MFCM+KPCA method can give a much better result than other methods, especially in extracting the nonlinear information of multispectral remote sensing images.
通过对本文方法与PCA和KPCA方法的试验结果进行比较，证实了本文方法的特征提取性能较前两种方法有显著的提高，可有效地提取多光谱图像中的非线性信息。
参考来源 - 遥感图像特征提取方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The paper describes a real-time lossless data compression algorithm for both individual band and multi-spectral remote sensing images.
讨论了对单波段遥感图像和多波段遥感图像都适用的一种实时无失真数据压缩的方法。
The difference between remote sensing image spectral response is the main reason that causes distortions while merging multi-spectral and panchromatic images.
对于多光谱和全色波段遥感影像融合而言，影像间光谱响应范围的差异是造成融合结果光谱畸变的重要原因。
This paper applies 2-d DCT to the remote sensing image fusion between panchromatic and multi-spectral images.
本文将二维离散余弦变换(DCT)应用于多光谱图像与全色光学图像融合问题的研究中。
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