对于高分辨率遥感影像的研究和应用也越来越多。
And high-resolution remote sensing research and applications is also increasing.
利用高分辨率遥感影像的检索实验证明该方法是有效的。
These images are sorted according their similarity as the final retrieval results. This approach is validated using high resolution remote sensing images.
在城市区域的高分辨率遥感影像中80%的目标是建筑物和道路。
And 80 percents of high distinguish remote sensing image of metropolitan district is building and road.
论述了对高分辨率遥感影像进行精纠正获得正射影像的关键技术。
The key technology of accurate rectification for remote sensing images with high resolution (RSIHR) to acquire orthoimage is introduced.
论述了对高分辨率遥感影像进行精纠正获得正射影像的关键技术。
The key technology of accurate rectification for remote sensing images with high resolution (RSIHR)...
该文提出高分辨率遥感影像纠正和绝对(大地)定位的一种新方法。
A new method for high resolution remote sensing image rectification and geodetic location is proposed.
提出了一种从高分辨率遥感影像中提取线性目标时影像预处理的方法。
This paper develops an approach to pre-process high-resolution remote sensing image that is used to extract linear target.
道路等线性地物的自动提取一直是高分辨率遥感影像研究所关注的内容。
Automatic extraction of linear objects such as roads has been the hotspots in the research of high-resolution remote sensing images.
提出了一种整体矩形匹配方法，对高分辨率遥感影像中的城市直线道路进行提取。
A total rectangle matching approach is proposed to extract straight roads in urban areas from high resolution remote sensing images.
高分辨率遥感影像波段间配准误差是影响影像质量及其应用精度的重要因素之一。
Being one of the important factors responsible for image quality, the band to band registration error of high resolution imagery affects considerably the application precision of remote sensing.
而海量数据、复杂细节和尺度依赖的特点决定了高分辨率遥感影像处理的技术难点。
Huge amounts of data, the complexity of details and scale-dependent characteristics decide the technical problems of high resolution remote sensing images processing.
针对背景复杂的高分辨率遥感影像，论文提出一种在对偶空间检测道路目标的算法。
One kind of road-detecting algorithm in dual space is proposed aiming at high-resolution remotely sensed image with complex background.
结果表明所采取的方法在高分辨率遥感影像的城市绿地信息的提取上具有很好的应用性。
The result indicated that the method adopted has good utility on extraction urban green space information from high resolution remote sensing image.
利用小波变换和数学形态学的方法对高分辨率遥感影像的面状地物居民地进行识别提取。
This article discusses the method of using Wavelet Transform and Mathematics Morphologic Subject to extract the canal of the area objects on the high resolution remote sensing image.
介绍了一种利用较少控制点、基于新几何模型的高分辨率遥感影像光束法区域网平差方法。
A method of the block adjustment based on a new strict geometric model for remote sensing images with high resolution (RSIHR), using few control points, is presented in this paper.
数字影像在GIS中的应用，可系统归纳为三个方向：使用高分辨率遥感影像用作GIS矢量数据的更新；
This paper describes three development trends in the integration of high resolution remote sense image and GIS.
高分辨率遥感影像往往成本高昂，同时它所包含的海量数据需要耗费大量的时间和人力才能完成信息的提取。
High resolution remote sensing images are often costly, and the huge amounts of data of it need to spend a lot of time and manpower to complete the extraction of information.
于是，有些学者将面向对象信息提取技术运用到遥感影像的分类中，大大提高了高分辨率遥感影像的分类精度。
Thus, some scholars use object-oriented information extraction technology to classify the remote sensing image, greatly increased the accuracy of high-resolution remote sensing image classification.
论文在分析现有的各种提取方法的基础上，结合城市道路在高分辨率遥感影像上的特点，提出一种半自动的道路提取法。
In this paper, according the characteristics of urban road in high-resolution remote images, a new semiautomatic extraction road approach is proposed based on the analysis of various existent ones.
在基于小波的纹理分类算法的基础上，提出了逐点特征加权和活动窗口算法，使小波纹理分析能够用于高分辨率遥感影像的分类。
This paper discusses the shortage of conventional algorithms of texture classification based on wavelet transform, presents two improved approaches of point feature weighting and smart windows.
获取高分辨率遥感影像，通过遥感和GIS分析，结合GPS地面精确定位调查，是高质量小尺度景观样本研究数据获取行之有效的方法。
Getting high - resolution image, through RS and GIS analyzing and GPS field survey, all above are effective methods for getting data of high quality small-scale landscape ecology study.
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.
本文针对不同时期高分辨率遥感影像进行城市变化检测，在利用传统变化检测方法得到的检测结果的基础上，考虑消除投影差和阴影对变化检测结果的影响。
In this paper, by use of high resolution satellite images at different points of time, based on the traditional method, take projection and shade into the effect of change detection.
简要叙述高分辨率卫星遥感影像的严格几何模型，建立影像姿态角常差检校模型。
The rigorous geometric model based on the collinearity equations is the basic model for object positioning of high resolution remotely sensed imagery.
基于遥感提取地震灾情信息，需要处理高分辨率的大数据量遥感影像。
The extraction of earthquake disaster information from remote sensing technique requires processing high spatial resolution remote sensing data with large quantities.
高分辨率卫星影像的应用，为遥感影像的目标提取提供了更大的可能性和更高的准确性。
The applications of high resolution remote sensing images have provided more possibility and higher accuracy for the object extraction from remote image.
传统的基于像素光谱信息分类的方法在对这些高分辨率的遥感影像分类时显得力不从心，所得到的精确度远远达不到生产的要求。
Traditional pixel-based classification method can not give a satisfied performance for High Resolution Imagery. Its accuracy of classification is far from productive demand.
传统的基于像素光谱信息分类的方法在对这些高分辨率的遥感影像分类时显得力不从心，所得到的精确度远远达不到生产的要求。
Traditional pixel-based classification method can not give a satisfied performance for High Resolution Imagery. Its accuracy of classification is far from productive demand.
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