提出了一种基于特征量积的遥感图像融合方法。
In this paper, a feature product-based image fusion method between multi-spectral image and PAN image is proposed.
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。
For the problem of remote sensing image fusion, we propose a new scheme based on residual error in this paper.
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。
To obtain more image details, a remote sensing image fusion algorithm based on edge features was proposed.
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。
In recent years, multisensor image fusion techniques have attracted extensive attention in remote sensing application and image project area.
基于全色数据与多光谱数据之间的线性关系进行遥感图像融合是一种可行并被广泛应用的思路。
Image fusion based on the linear relationship between panchromatic and multispectral data is feasible and widely used for the fusion of remotely sensed images.
从而证明了NSCT在遥感图像融合领域是一种有效的多分辨率分解策略，可以被成功的应用到遥感图像融合应用中。
This also proves that NSCT is an effective strategy in the field of remotely sensed images fusion, and it can be successfully used in the application of remotely sensed images fusion.
详细地探讨了小波基函数、小波分解层数的选取对遥感图像融合结果的影响，为小波基函数和分解层数的选择提供了依据。
This paper discuss the effects of the wavelet function and the decomposed level on remote fused image deeply. The research provides basis for choosing wavelet function and the decomposed level.
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。
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.
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。
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.
图像融合在遥感等许多领域具有重要作用。
Image fusion has important applications in many military and civil fields such as remote sensing.
近年来，图像融合技术在现代航空航天、自动控制、遥感遥测、医学，特别是军事指挥领域中发挥着越来越重要的作用。
In recent years, the technology of image fusion has played an increasingly important role in modern aerospace, automation, remote control and medicine, particularly in the field of military guidance.
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。
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.
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。
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.
本文对以上几种方法作了研究，并在此基础上进行了多种遥感图像间的融合试验。
In this paper, the above several methods were researched, while the experiments of fusing different remotely sensed images were processed.
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。
Now multi-sensor image fusion is widely applied in some fields, such as medicine, remote sensing, computer vision, weather forecast, automatic object detection, etc.
本文运用主观评价、客观评价、几何质量等三种评价方法对融合后的遥感图像的质量展开讨论。
This paper discusses the quality of fused RS image using three evaluation methods of subjective evaluation, objective evaluation and geometrical quality.
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 has been widely used in remote sensing image analysis, machine vision, medical diagnostics, target identification and other fields.
探讨了遥感多光谱与全色波段图像的融合问题。
The multi-spectral and panchromatic image fusion is discussed.
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。
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.
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。
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.
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。
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.
模型中GIS属性数据惯穿遥感图像理解的全过程，是一种高层次的数据融合，且GIS数据特征的提取、处理和遥感图像理解是高度并行的。
The data of GIS is fused through out the modeling when the image understanding is running. The fusion is high-level one of GIS with RS.
然后，利用图像化的地层、重力、化探、线环构造和遥感影像数据进行RGB合成，通过HIS变换进行多源地学数据融合。
These image data and remote sensing image can be integrated in RGB form and then be transformed into HIS to merge the geological data.
基于图像特征的遥感图像信息融合是在突出目标地物的空间结构和纹理特征基础上的信息融合。
The image feature fusion is a kind of data fusion that is based on spectral structure and texture feature of the objects.
基于图像特征的遥感图像信息融合是在突出目标地物的空间结构和纹理特征情况下的信息融合。
The image feature fusion is a kind of data fusion that is based upon spectral structure and texture feature of the objects.
提出了一种利用多分辨率图像模板库来定量确定遥感融合图像真实空间分辨率的方法。
Spatial resolution of remote sensing fused image is usually the spatial resolution of high spatial resolution image which is not the real spatial resolution of the fused image.
遥感图像的数据融合是当前遥感界研究的热点问题之一。
Data fusion on remote sensing images is one of the most important problems in current remote sensing field.
在介绍几种常用于多传感器遥感图像去云方法的基础上，采用多分辨力小波分解的图像融合法来达到对影像的去云目的。
Saveral methods previously used in cloud removal of multi-spectral image are discussed firstly, and then multi-resolution analysis of image fusion based on wavelet transform is introduced.
SAR图像和光学遥感图像所反映的地物信息差别很大，影像融合技术能综合二者信息，发挥出更大优势。
SAR image carries information quite different from optical image; image fusion can combine the two types of information together, making them more useful.
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