提出的方法不仅能够有效地消除传感器随机噪声的影响，而且还能够很好地保持遥感图像上重要的细节边缘和影像质量。
Our methods not only effectively remove the impulsive noise caused by sensors, but also preferably preserve important detailed edges and image quality in remotely sensed images.
影像更是地理信息科学中最重要的数据源，图像信息处理成为遥感应用中的一个重要环节。
Images are also the most important data source in Geographic Information Science and image processing is a very crucial step in remote sensing application.
该方法及其思想不仅可用于去除云层和阴影对遥感图像质量的影响，而且也可用于其他图像处理中，如影像的割补、分类后处理等。
These methods and ideas can be used not only to remove the influence of cloud and its shadow on the quality of remote image hut also to process other images, such as patching and recoding 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.
小波分析和傅立叶分析被广泛地应用于图像处理的各个领域，它们也能被应用于遥感影像土地利用变化检测。
Wavelet and Fourier analyses are widely used in various fields of image processing. They can be utilized in land use remote sensing dynamic monitoring to detect change information automatically.
遥感影像中的信息提取一直是图像处理的研究热点之一，阐述了在道路特征提取方面的一些经验。
Information extraction is one of focal points in remote sensing image processing. This paper studies one approach of road feature extraction.
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.
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.
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.
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.
结果：提出了基于面向对象遥感图像分析法的遥感影像信息挖掘方法。
Result: a method of remote sensing image mining basing object-oriented image analysis is presented.
但是高分辨率遥感影像在林业领域中的应用面临诸多问题，如数据源的价格偏高、图像阴影无法去除、树种识别困难和森林蓄积量估测精度不高等。
However, there appear many problems in its application in forestry, such as the high price of data, the irremovability of image shadow, the low accuracy of quantitative estimation, etc.
几何校正，就是清除遥感图像中的几何变形，是遥感影像应用的一项重要的前期处理工作。
Geometric correction, is to remove the geometric distortion of remote sensing images, is an important pre-processing in the application of remote sensing image.
阴影是遥感影像的基本特征之一，它将干扰图像匹配、图象变化检测或图像中信息的提取，而去除阴影则是遥感图像处理的难题。
Shadow is one of the features in remote sensing image. It affects image matching, change detection or information extraction. But removing that is usually very hard in image processing.
根据金矿分布规律和从遥感图像上提取的综合影像特征，建立了不同金矿床类型遥感影像模式。
The remote Sensing imagery models of different types of gold deposit have been set up on tho basis of extraction of comprehensive image signatures and gold deposit distribution pattern.
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.
在图像的后处理过程中，为了保证图像的几何校准精度，以及为了从遥感影像中提取有效的制图信息等，均需要对其进行精确的地理定位。
In the process of image post-processing, precise pixel location is needed to guarantee the accuracy of geometry correction and distill effective cartographic information.
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.
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。
Remote sensing image registration and fusion is an important image processing technology in remote sense field.
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。
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.
基于灰度形态学，提出一种从高分辨率遥感图像提取道路网络的方法。首先利用灰度形态特征对遥感影像进行分割，进而得到基本的道路网络轮廓。
Based on grey level mathematical morphology, this paper presents a newly developed approach to extract road network from high-resolution remotely sensed image.
遥感影像融合是遥感图像处理中的研究热点和难点之一。
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。
Two methods of remote sensing image decision-level fusion are studied.
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