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.
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.
本文首先回顾了遥感信息融合技术的历史及现状。
In this paper, history and present situation of information fusion in remote sensing is reviewed firstly.
多传感器数据融合技术已广泛应用于遥感图象处理方面。
Multisensor data fusion technique has been widely used in remote sensing image processing.
最后分析了多源遥感数据融合尚待解决的问题及努力方向。
Problems to be resolved and future direction of multi-source remote sensing data fusion are put forward.
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。
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.
遥感影像信息融合是有效利用遥感海量数据的关键技术。
For the full exploitation of increasingly sophisticated multisource data, a lot of image fusion algorithms have been developed.
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.
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.
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.
场景空间直接影响植被生长过程，因此是融合遥感信息和相关辐射计、传感器植被仿真模拟的重要组成部分。
Scenes intervene the process of plants growth directly, so that is a most important for plants simulation based on remote sensing information, radiometer and sensors.
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；
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.
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.
提出了一种基于可操纵金字塔和IHS变换的遥感影像融合方法。
This paper proposed a new image fusion method based on steerable pyramid and IHS Transformation.
论述了铀矿床遥感应用领域信息融合技术基本内涵。
The basic connotation of information fusion has been studied in detail in this article.
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.
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.
从影像成像的频率特性出发，提出了一种影像分辨率退化模型，并在此基础上提出了一种新的全色和多光谱遥感影像融合方法。
In this paper, a new image fusion method based on image resolution degradation model is proposed to improve spatial and spectral resolution of synthetic images.
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.
利用水质遥感监测信息和地面监测信息的互补性，提出一种基于神经网络一证据理论的数据融合处理方法。
Using complementarity of remote sensing information and ground monitoring information on water quality, a data fusion method based on neural network and evidence theory is proposed.
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.
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.
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.
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.
采用遥感—数学—模型相融合的方法建立浅层地下水推断模型。
A prediction model for shallow groundwater combining remote sensing, mathematics was set up.
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.
研究遥感数据像素级融合统一模型及相应的实现技术具有重要的理论和应用价值。
The generalized model characterizing most remotely sensed data pixel-level fusion techniques is very important for theory analysis and application.
提出了结合遥感影像的局部相关矩和局部方差进行融合的方法。
A fusion method is proposed to merge remote sensing images using rules combining correlation moment and deviation.
提出了结合遥感影像的局部相关矩和局部方差进行融合的方法。
A fusion method is proposed to merge remote sensing images using rules combining correlation moment and deviation.
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