This dissertation mainly aims at the research of multisensor image fusion algorithms in pixel level.
本文主要基于像素级的图像融合方法开展研究。
Multisensor image fusion could improve system performances such as detection, tracking, and identification greatly.
多传感器图像融合技术可以有效地提高系统的检测、跟踪和识别性能。
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。
The purpose of image fusion is to merge complementary information from multisensor data for visual perception, such as surveillance and reconnaissance.
图像融合的目的是把来自多传感器数据的互补信息合并形成一幅新的图像，以便更好地进行监视和侦察之类的视觉感知。
Multisensor data fusion technique has been widely used in remote sensing image processing.
多传感器数据融合技术已广泛应用于遥感图象处理方面。
Aim at the problem of detecting for long distance targets with visual and thermal infrared image sequences, a method of targets detection based on multisensor decision level fusion was developed.
本文针对可见光和红外热图像序列中远距离目标检测，提出了一种基于决策级融合的目标检测方法。
With the help of complementary data information of multisensor, a new image is reconstructed by image fusion, which provides richer visual information than the original images.
图像融合把来自多个传感器数据的互补信息合成一幅新的图像，提供比原图像更丰富的视觉信息。
With the help of complementary data information of multisensor, a new image is reconstructed by image fusion, which provides richer visual information than the original images.
图像融合把来自多个传感器数据的互补信息合成一幅新的图像，提供比原图像更丰富的视觉信息。
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