To obtain more image details, a remote sensing image fusion algorithm based on edge features was proposed.
为了获得更多的图像细节信息，提出了一种基于边缘特征的遥感图像融合算法。
This paper applies 2-d DCT to the remote sensing image fusion between panchromatic and multi-spectral images.
本文将二维离散余弦变换(DCT)应用于多光谱图像与全色光学图像融合问题的研究中。
For the problem of remote sensing image fusion, we propose a new scheme based on residual error in this paper.
针对遥感图像融合问题，提出了一种基于残差的遥感图像融合新方法。
A wavelet packet frequency-shift algorithm for remote sensing image fusion was introduced to solve the problem of serious frequency aliasing caused by dyadic-down sampling.
在基于小波包的遥感图像融合应用中，引入用于调整小波包分解频率顺序的小波包移频算法来解决由于间隔采样而导致的频带混叠现象。
Base on the basic model of orthogonal wavelet transforms, principle of remote sensing image fusion is discussed by using orthogonal wavelet decomposition and reconstruction in this paper.
在给出小波变换基本模型的基础上，探讨了采用小波正交分解与重构来进行遥感信息融合的基本原理。
Remote sensing image classification is an important means for quantified remote sensing image analysis, and remote sensing image fusion can effectively improve the accuracy of image classification.
遥感影像分类是遥感定量化分析的重要手段，遥感影像融合是提高分类正确率的有效途径之一。
As a very important field of information fusion, image fusion has been extensively applied in remote sensing, medical science, computer vision, detecting and identification of military target etc.
图像融合作为信息融合的一个重要领域已广泛应用于遥感、医学、计算机视觉、军事目标探测和识别等多方面。
After the wavelet's multi-resolution analysis, a feature fusion approach was adopted to enhance remote sensing image edge and improve the definition and resolving power of the image.
在数字图像小波多分辨率分析理论基础上，采用小波变换方法对高分辨遥感图像的目标地物边缘进行信息增强，然后与多光谱遥感图像进行特征信息融合。
Statistical characteristic analysis of remote sensing image is fundamental to image fusion and interpretation, and the quantitative analysis of each band is the premise of image fusion.
遥感影像特征分析是影像融合和解译的基础，而对遥感数据源各个波段进行定量分析是图像融合的前提。
The fusion of multi-source remote sensing images would give birth to an image of which information is more precise, more integrated and more reliable than that of a single image.
多源传感器影像的数据融合，可以产生出比单一信息源更精确、更完整、更可靠的影像信息。
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。
Image fusion has important applications in many military and civil fields such as remote sensing.
图像融合在遥感等许多领域具有重要作用。
According to the problem in the development of computer Remote Sensing image auto-classification, this paper does more detailed research in the area of feature and decision fusion classification.
本文针对遥感图像计算机自动分类中的问题，主要进行了以下几方面的研究工作。
Based on the backgrounds of imaging guidance, remote sensing technique, and information fusion technique, we have studied the methods of the remote sensing image processing in this paper.
本文以图像制导、遥感技术和信息融合技术为研究背景，较深入地进行了基于信息融合的遥感图像处理方法研究。
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。
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。
At present the fusion of multi-source remote sensing image is a hotspot study in the field of remote sensing.
多源遥感影像融合已经是目前遥感领域研究的热点。
Two methods of remote sensing image decision-level fusion are studied.
遥感影像融合是遥感图像处理中的研究热点和难点之一。
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。
At the last of this paper, it summarized the multi-source remote sensing image data fusion, and illustrated a number of objective problems and shortcomings, and then prospects for image fusion.
文章最后对多源遥感影像数据融合进行了总结，说明了一些客观存在的问题与不足，并对影像融合进行展望。
The first section of this paper, it described the multi-source remote sensing image data fusion need, application and significance, then it elaborated the study route of the paper.
文章第一部分对多源遥感影像数据融合的必要性、应用及其意义进行了说明，并阐述了本文的研究路线；
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。
Being an efficient method of information fusion, image fusion has been used in many fields such as machine vision, medical diagnosis, military applications and remote sensing.
图像融合作为一种有效的信息融合技术，已经广泛用于军事、遥感、机器视觉和医疗诊断等领域。
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。
At the end, it is demonstrated that evidential reasoning has extensive applications in the classification of remote sensing images through the fusion analysis of ERS SAR and TM image.
最后通过利用ERSSAR数据和TM影像进行融合分析，证明该方法在遥感图像自动分类中有很好的应用前景。
For high-resolution multi-spectral remote sensing image characteristics, the paper introduces a number of commonly used image processing techniques and proposes the improved wavelet fusion algorithm.
针对高分辨率多光谱遥感影像的特点，介绍了常用的一些图像处理技术，提出了改进的小波融合算法。
Image fusion technology has been widely used in remote sensing image analysis, machine vision, medical diagnostics, target identification and other fields.
图像融合技术已广泛应用于遥感影像分析、机器视觉、医疗诊断、目标识别等领域。
Image fusion technology occupies important places in the fields of remote sensing, medicine, natural resource exploration, Marine resource management, terrain landform analysis and biology.
图像融合技术在遥感、医学、自然资源勘探、海洋资源管理、地形地貌分析、生物学等领域占有极其重要的地位。
Image fusion technology occupies important places in the fields of remote sensing, medicine, natural resource exploration, Marine resource management, terrain landform analysis and biology.
图像融合技术在遥感、医学、自然资源勘探、海洋资源管理、地形地貌分析、生物学等领域占有极其重要的地位。
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