对于IKONOS高分辨率融合影像，人机交互目视解译是一个最佳方法，森林四级类型的目视解译面积精度可达97.60%。
As to the IKONOS image, the human - computer interaction interpretation is most effective, the area relative precision of which can be up to 97.60%.
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.
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.
针对单一传感器在光谱、空间分辨率等方面存在的局限性，通过多传感器融合技术，最大限度地获取对目标场景的信息描述。
Aiming at single sensor's limitation on spectrum and spatial resolution, this paper USES the technology of multi-sensor fusion, which furthest obtains the information description of target scene.
利用拉普拉斯金字塔分解算法对图像进行多分辨率分析，对分解后的图像采用基于区域特征量测的方法进行融合。
This paper adopts a Laplacian Pyramidal decomposition method to analyze two images, And the decomposed images are fused with the method based on regional features measurement.
在对图像进行融合过程中，多分辨率金字塔式方法是经常用到的技术之一。
The multiresolution pyramid fusion algorithm is one of the most common algorithms in the processing of image fusion.
本文重点研究像素级多传感器图像融合算法，包括简单图像融合方法、多分辨率图像融合算法和伪彩色图像融合算法。
This thesis focused on the algorithms of the pixel-level fusion process, including simple image fusion methods, multi-resolution image fusion methods and false color image fusion methods.
在像素级图像融合中，多分辨率图像融合算法是应用广泛且及其重要的一类算法。
In pixel level image fusion, the multi-resolution image fusion algorithm is very important and widely utilized.
文中研究了简单的图像融合方法、基于多尺度塔形分解的多分辨率图像融合方法和基于小波变换的图像融合方法。
The simple image fusion method, the multiresolution image fusion techniques based on multiscale pyramid decomposition (MPD), and the image fusion method based on wavelet transform are studied.
提出了一种基于分辨率的并行量化交叠的数据融合算法rpqo作为框架中的融合策略。
Also a resolution based parallel quantifying overlapping algorithm named RPQO is proposed for the fusion strategy.
同时，还将相关反馈技术融合到多分辨率分块主色算法中，以改善检索效果。
Meanwhile, the technology of relevance feedback is combined with the presented algorithm to enhance the effectiveness of retrieval.
通过高几何分辨率图像与多光谱波段融合方法可以，增强变化信息，纹理特征参与变化信息提取可以提高变化类型的分类精度。
It is concluded that the fusion of high spatial imagery and multi-spectral bands can enhance change information, and the fusion of texture character can improve the classification results.
实验结果表明，该方法能有效提高常用的多分辨率图像融合方法的融合效果。
Experimental results show that the proposed method can improve the quality of the fused images that are obtained with the conventional multiresolution image fusion approaches efficiently.
实验结果表明，该图像融合方法在保留TM多光谱图像光谱分辨率的同时，通过融合SPOT全色图像提高了空间分辨率，丰富了图像细节信息。
The experiment results show that image details are enriched while spectral solution of TM image is reserved by fusing TM image with SPOT image in our image fusion method.
实验结果表明，该图像融合方法在保留TM多光谱图像光谱分辨率的同时，通过融合SPOT全色图像提高了空间分辨率，丰富了图像细节信息。
Experiment results show that image details are enriched while spectral solution of TM image is reserved by fusing TM image with SPOT image with the image fusion method.
根据人类视觉系统的特点，提出一种融合谱残差和多分辨率分析的显著目标检测方法。
According to the characteristics of human visual system, a salient object detection method based on spectral residual and multi-resolution is proposed.
仍然可以始终使用曝光功能和高分辨率图像融合稍后桌面PC。
Still the bracketing functionality can always be used and high-res images fused later on a desktop PC.
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.
针对退化图像空间分辨率较低的问题，提出了一种基于归一化方差的多分辨率图像融合方法。
A major problem in using degenerative images is the low spatial resolution. In order to overcome that problem, an image fusion method based on the normalized square deviation is proposed.
对SPOT多光谱图像和高分辨率图像进行融合实验，并利用信息熵和相关系数对融合结果进行客观评价与比较分析。
The fusion experiment is carried out by the SPOT multi-spectrum image and high-resolution image. Entropy and correlation coefficient are used to judge and analyze the fusion results objectively.
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.
实验结果表明，该算法同传统加权多分辨率图像融合方法一样，能够产生良好的融合效果。
The experimental results show that images achieved by this efficient algorithm are of equivalent or better quality than those obtained from more complex, conventional image fusion methods.
该方法将相干和非相干技术进行有效融合，能增加PMMW多波束成像像素，提高成像分辨率。
Combining coherent technology with incoherent technology, the method can increase the number of image pixels, and therefore improve the spatial resolution of PMMW multi-beam imaging.
图像超分辨率技术是指利用若干幅低分辨率图像作为输入，通过一系列信号处理的手段融合出具有更多高频细节信息的高分辨率图像的方法的总称。
Image super resolution technology is a method that takes a series of low resolution images as input, and USES signal processing technology to obtain high resolution image.
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.
融合影像计算的NDVI与真实中空间分辨率影像计算的NDVI间的相关性达到0.94。
The correlation coefficient r between NDVI calculated by synthetic imageries and actual observations is 0.94.
融合影像计算的NDVI与真实中空间分辨率影像计算的NDVI间的相关性达到0.94。
The correlation coefficient r between NDVI calculated by synthetic imageries and actual observations is 0.94.
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