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remote-sensing images    
相关语句
  遥感图像
    The efficient integration of remote-sensing images with multiple spatial,temporal and spectrum resolution was a key of remote-sensing application.
    对不同空间分辨率、时间分辨率和波谱分辨率的遥感图像进行综合、高效的利用,是遥感应用的关键问题之一。
短句来源
    The basic principles of fractal compression of the remote-sensing images are analyzed and the concrete method of the fractal image compression is discussed. The experiments of the image compression are carried out.
    分析了用分形理论处理遥感图像压缩的基本原理,提出了具体编码方法,实现了遥感图像的分形压缩,压缩效果较好。
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  remote-sensing images
Predictor layers were created on a digital database that includes 1:200,000 scale geological, and geochemical, and geophysical maps, and remote-sensing images in study area.
      
We present the results of automatic extraction of networks from real remote-sensing images, showing the ability of the model to overcome interruptions.
      
Although these results confirm the stand structural variation expected with forest succession, remote-sensing images also provide a spatial context and establish a basis to evaluate variance within and between age classes.
      
The merging of remote-sensing images with different spatial/spectral resolutions has become a highly useful tool, due to their increasing availability.
      
Merging remote-sensing images for geological-environmental mapping: application to the Cabo de Gata-Níjar Natural Park, Spain
      
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This paper discusses the theoretical fundamentals of using auxiliary data in automatic classification of remote sensing images by the principle of pattern recognition: the simulation of the information space for visual interpretations, the influences of pattern dimensionality to the linear separability of pattern sample set, and separability measure to various kinds of patterns, i.e. OIF index and matrix trace criteria. The instance using auxiliary data for grass resources investigations in Xizha area...

This paper discusses the theoretical fundamentals of using auxiliary data in automatic classification of remote sensing images by the principle of pattern recognition: the simulation of the information space for visual interpretations, the influences of pattern dimensionality to the linear separability of pattern sample set, and separability measure to various kinds of patterns, i.e. OIF index and matrix trace criteria. The instance using auxiliary data for grass resources investigations in Xizha area of Northern Tibet has been given out to show the effects for improving the accuracy of automatic classification.

本文从目视解译信息空间的模拟、模式维数对模式样本集线性可分性的影响、模式空间各模式类别可分性测度OIF指数及迹准则判断原理等模式识别原理出发,初步讨论了在遥感影象自动分类中利用辅助数据的理论依据,并以藏北西扎地区草资源调查中利用辅助数据进行自动分类的实例说明辅助数据提高自动分类精度的有效性。

The development of space technology and computer science pushes remote sensing (RS) and geographical information system (GIS) technology forward. Mathematical models (MM), as a link between RS, GIS, and their practical applications play an important role. It can be said that the progress of the application of MM is a key point for the development of RS and GIS technology from qualitative analysis to quantitative analysis, from static description to dynamic description and from single factor to multi-factors...

The development of space technology and computer science pushes remote sensing (RS) and geographical information system (GIS) technology forward. Mathematical models (MM), as a link between RS, GIS, and their practical applications play an important role. It can be said that the progress of the application of MM is a key point for the development of RS and GIS technology from qualitative analysis to quantitative analysis, from static description to dynamic description and from single factor to multi-factors analysis. It is also a prerequisite to apply these new technologies in geoscience. Compared with traditional MM, those MM, applied in RS and GIS, have their own characteristics and superiority. Firstly, it can use the values of some variables in continuous space as parameters. This changed the situation that traditional MM can only use the average values of local points or a certain point to express some features, and overcome ,the defect that the accuracy is limited by the density of observation points, so that the simulation accuracy of MM is improved. Secondly, parameters of MM can be obtained in real-time or near real-time, while it has to take a long time to do ground studies for traditional MM to obtain those parameters, thereby it is made possible to do analysis in time and make dynamic simulation. Furthermore, it can make use of both the graphic and digital data stored in data base. Integrated analysis of various kinds of data, such as image data, terrain data, and thematic maps data can be conducted. Finally the calculated results of MM, obtained under the support of RS and GIS, can be expressed in two-dimensional or three-dimensional space, and we can observe current and even future possible situations intuitively. This paper is an overview of practical application examples of Chinese researchers in the area of the product estimation in agriculture, forestry, and animal husbandry, simulation of hydrologic process, dynamic estimation of desertification and soil erosion, land resources analysis and evaluation. Their research work is conducted by using MM, and with support by RS and GIS. After analysing the development process of computer recognition models of RS images, the author of this paper firmly believes that for computer recognition of RS images, transition from statistical models of recognition pixel by pixel, based on spectral data to comprehensive models, where spectral data, spatial relations of pixels, and many kinds of auxiliary data are used, will be realized widely. For analysis methods, MM will develop from accurate ones to those, where knowledge of judgement is used under the support of expert systems. This rep- resents the trend of development of computer recognition of remote sensing images. For agricultural production estimation model, the high accuracy multivariate regression winter wheat production estimation model by using vegetation index which is calculated by NOAA-AVHRR data and main meteorological factors has been set up to predict the winter wheat yield covering the area of 90 percent of all the wheat plantation area of China since 1984. In the estimation of forest timber volume, it is impossible to get satisfactory result by using vegetation index because the VI only represents the biomass of that year. The variables of forest features, including stand type, age group and conopy density, is made by using remotely sensed data. By the measurement of forest timber volume in some ground sample areas, non-linear mathematical model of above variables, interactive variables between them and forest timber volume is finally established. Remote sensing hydrological model is based on the statistical analysis of hydro-parameters by conventional hydrological model and data from remote sensing images and GIS. For example, the structure and parameters of the Sacramento model of continuous simulation of valley hydro-process have been adjusted. Valley area is divided into subareas. Each subarea is classified according to its undercover by remotely sensed data, and the parameters of the valley can be determined by conversion function. Remote sensing technology provides powerful means for the modelling analysis of land desertification. China has made success in the estimation of desertification process by establishing regional regression model, trend surface analysis model and Markovian model. The establishment of soil erosion model is mainly dependent on the airborne remotely sensed data. The main factors affecting soil erosion are determind by using theory of grey system. The mathematical expressions of small valley erosion model are conducted. The remote sensing mathematical models of land evaluation are also established in China. They mainly include: land resource evaluation, land sustaining ability, land planning, regional economic, social and ecological environment joint development planning etc. Multi-variate regression analysis, multi-target planning, expert system analysis and system dynamics are applied to set up the models.

本文探讨了遥感与地理信息系统中应用的数学模型的特点;并综述了中国研究人员在遥感图象识别、农林牧估产、水文过程模拟、沙漠化和水土流失动态估计以及土地资源分析评价中的应用实例;最后,根据遥感与地理信息系统的发展趋势,展望了其中应用的数学模型的发展趋势。

The process procedure of the data-convertion translated CCT tape of TM image into microcomputer disk by making use of minicomputer or microcomputer and display of remote sensing image reading from the data of remote sensing image with common microcomputer is mainly introduced in the paper.

主要介绍了利用小型机或微型机,将TM影像CCT磁带数据转换为微机磁盘数据,并利用普通微型计算机进行遥感图像数据读取的遥感图像显示处理过程。

 
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