multi-source images matching 多源影像匹配
multi-source rs images 多源遥感影像
This dissertation develops a technique for the registration of multi-source images based on artificial immune system (A1S). This method consists of two steps.
本文采用一种基于人工免疫系统的多源遥感图像自动配准方法。
参考来源 - 基于人工免疫系统的多源遥感图像配准研究·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
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