One challenging problem in image registration area is the registration of multi-sensor images.
图象配准的一个重要问题是多传感器获取的图象配准。
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。
The experimental results show that the new method is much better than the traditional multi-sensor image matching method.
实验结果表明本文方法明显优于传统异源图像匹配方法。
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。
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 designs an image recognition system based on BP neural network and multi-sensor data fusion.
设计了一种基于BP网络和多传感器数据融合的图像识别系统。
The application of digital image processing, artificial neural network, multi-sensor data fusion and virtual instrument techniques to nondestructive testing are discussed.
介绍了数字图像处理、人工神经网络、多传感器信息融合技术以及虚拟仪器技术在无损检测中的应用情况。
Virtual reality technology is an integrated multi-discipline new technology, it graphics, image and sensor technology.
虚拟现实技术是一种综合多门学科的新技术，它以图形、图像与传感器技术为基础。
The purpose of image fusion is to merge complementary information from multi sensor data for visual perception so as to improve the visual perception of the image.
图像融合的目的是把来自多传感器的数据互补信息合并成一幅新的图像，以改善图像的视觉效果。
Image fusion is one of the most important branches of multi-sensor data fusion, which has broad prospects for development as a new research area.
图像融合是多传感器数据融合的一个重要分支，作为一个新兴的科研领域有着广阔的发展前景。
In order to reduce network load, energy consumption and delay in video sensor network, a layered multi-quality image fusion method based on attention is proposed.
为了降低视频传感器网络中的网络负载，减少能量消耗、降低时延，提出了一种分层的基于注意力模型的多质量图像融合方法。
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。
Image fusion Technology, which is an important part of the multi-sensor information fusion, was paid more and more attentions in recent years.
图像融合技术是多传感器信息融合的一个非常重要的分支，近年来越来越受到重视。
The wireless multimedia sensor networks can transmit temperature and image data in multi-hop model with low packet error ratio.
网络能支持温度和图像数据的多跳传输，错包率低。
Multi-image sensor intersection measurement is a vital research part in computer vision.
多图像传感器交汇测量是计算机视觉领域中重要的研究部分。
Multi-image sensor intersection measurement is a vital research part in computer vision.
多图像传感器交汇测量是计算机视觉领域中重要的研究部分。
应用推荐