多源图像融合是图像理解和计算机视觉领域中的一项重要课题。
Multi-source Image Fusion is an important and useful subject in Image Understanding and Computer Vision.
针对不同视场的多源图像融合技术，本文提出一种仿射变换和线性插值相结合的配准方法；
Zhendui different field of multi-source image fusion, we propose a affine transformation and linear combination of registration methods;
论文从像元、特征和决策融合三个方面研究了多源图像融合技术，提出了一些新的分析处理方法。
In this dissertation, three levels of image fusion technology: pixel-level, feature-level and decision-level are studied, and some novel methods of analysis and processing are presented.
为了在图像处理之前得到更精确的图像，我们提出了对多源图像进行融合处理的方法。
We advance the method of fusion processing for the source image in order that we can get more accurate image before the image processing.
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。
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.
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。
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.
近年来，多源遥感图像融合已经成为遥感应用领域和图像工程领域的研究热点。
In recent years, multisensor image fusion techniques have attracted extensive attention in remote sensing application and image project area.
近年来，多源遥感图像融合已经成为遥感应用领域和图像工程领域的研究热点。
In recent years, multisensor image fusion techniques have attracted extensive attention in remote sensing application and image project area.
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