Remote sensing image registration and fusion is an important image processing technology in remote sense field.
遥感影像的配准与融合是遥感领域中的一项重要的图像处理技术。
The design and implementation for "Multi-sensors Remote Sensing Image Registration and Fusion System" software are finished in the project and can fulfill the primary application demands.
结合相关课题的研究，设计并实现了“多源遥感影像配准与融合系统”，初步满足了应用的需求。
On the basis of comprehensively summarizing and analyzing the current image registration techniques, this dissertation emphasizes the feature-based multi-source remote sensing image registration.
论文在全面总结和分析当前图像配准技术的基础上，重点研究了基于特征的多源遥感图像配准问题。
Image registration is a foundation problem in image processing. It is widely used in computer vision, pattern recognition, medical image analysis and remote sensing image analysis.
图像配准是图像处理的一个基础问题，它广泛应用于计算机视觉、模式识别、医学图像分析、遥感数据分析等领域。
Selecting the characteristic points is one of the critical steps during the image registration for remote sensing.
在遥感多图像配准过程中特征点的选择是一个关键的步骤。
High-resolution remote sensing technology is applied in the field of military and civilian, image registration technique is high-resolution remote sensing image pre-processing technology.
高分辨遥感技术在军民领域应用广泛，图像配准技术是高分辨遥感图像的预处理技术。
With the study of image registration recently, automatic registration of remote sensing image is becoming important.
遥感图像的自动配准技术是目前图像配准研究的重点。
The fast auto registration of remote sensing image is a very important problem. In this paper, local feature of image is utilized to realize the fast auto registration of remote sensing image.
针对图像处理领域中遥感图像的配准问题，提出一种基于图像局部特征的快速、自动配准方法。
Image registration is an important step of image fusion, change detection and target recognition in remote-sensing applications.
图像配准是图像融合、变化检测、目标识别等遥感应用中的重要步骤。
Experimental results for remote-sensing image registration indicate that the proposed method improves the registration performance as compared with other related methods.
实验结果表明与其他方法相比本文方法得到了更好的配准结果。
Image registration is a basic problem during image analysis and image processing. Image registration has been widely applied in the fields of medical image, remote sensing and computer vision.
图像配准是图像分析和处理的基本问题，其在医学影像分析、遥感遥测、计算机视觉等领域有着广泛的应用。
Being one of the important factors responsible for image quality, the band to band registration error of high resolution imagery affects considerably the application precision of remote sensing.
高分辨率遥感影像波段间配准误差是影响影像质量及其应用精度的重要因素之一。
After image registration and some pre-processing, the 0-level data of satellite remote sensing image still contains some noises such as strip noise.
卫星遥感图像的零级数据在经过适当的预处理后，仍然存在包括条带干扰在内的各种干扰信息。
A technique to construct an affine invariant descriptor for remote-sensing image registration based on the scale invariant features transform (SIFT) in a kernel space is proposed.
针对遥感图像配准，基于尺度不变特征变换(SIFT)提出了一种在核空间中构建仿射不变描述子的方法。
A technique to construct an affine invariant descriptor for remote-sensing image registration based on the scale invariant features transform (SIFT) in a kernel space is proposed.
针对遥感图像配准，基于尺度不变特征变换(SIFT)提出了一种在核空间中构建仿射不变描述子的方法。
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