Because of difference on the gray - level and resolution - level between multi - source images, it is very difficult to register two images.
不同源图像间由于灰度和分辨率水平上的显著差异，使得两图像间的配准问题十分困难。
With the use of multi-sensor (multiple images), the fused image contains a more complete and accurate description of the scene than any of the individual source image.
由于利用了来自多传感器的多源图像，所以，融合后图像对场景的描述比任何单一源图像都更全面、更精确。
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。
This paper describes the procedure of the multi-source RS images fusion and three levels of fusion.
简述了多源遥感影像融合过程、三种融合层次及其优缺点；
In order to get robust results, an effect way is to take advantage of multi-source information to do the work, which needs fusion of multi-spectral images.
为了得到稳健的目标识别，有效的途径之一是使用多源信息来识别目标，这就必须对多光谱图像进行融合处理。
It concludes that the proposed method significantly outperforms many state-of-the-art methods under multi-source remote sensing images.
因此，在多源遥感影像特征点匹配中，本文所提算法优于其它检测算法，可以极大地改善匹配效果。
It concludes that the proposed method significantly outperforms many state-of-the-art methods under multi-source remote sensing images.
因此，在多源遥感影像特征点匹配中，本文所提算法优于其它检测算法，可以极大地改善匹配效果。
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