The researches in this thesis were partly supported by three national research grants and focused on the techniques and applications of pixel level multi-sensor image fusion.
本论文结合有关国家自然科学基金、航天技术创新基金等课题要求,针对像素级多传感器图像融合方法和应用进行了深入研究。
This paper proposes a new method of multi-sensor image matching based on multi-channel gradient.
本文提出了一种利用多通道梯度进行匹配的新方法。
As different sensors have different imaging characteristics, it can hardly match multi-sensor image based on gray or gradient feature directly.
异源图像的成像特性不同,难以直接利用灰度和梯度进行匹配。
Now multi-sensor image fusion is widely applied in some fields, such as medicine, remote sensing, computer vision, weather forecast, automatic object detection, etc.
目前,多传感器图像融合技术在医学、遥感、计算机视觉、气象预报、自动目标检测等领域得到了广泛应用。