Data fusion on remote sensing images is one of the most important problems in current remote sensing field.
遥感图像的数据融合是当前遥感界研究的热点问题之一。
The fusion of multi-source remote sensing images would give birth to an image of which information is more precise, more integrated and more reliable than that of a single image.
多源传感器影像的数据融合，可以产生出比单一信息源更精确、更完整、更可靠的影像信息。
A fusion method is proposed to merge remote sensing images using rules combining correlation moment and deviation.
提出了结合遥感影像的局部相关矩和局部方差进行融合的方法。
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