最新刊期
卷 ， 期 4 ， 1989
- 摘要：<正> 该站是我国目前唯一先进、完整的遥感卫星地面站。主要任务是接收、处理、分发、存档地球资源卫星数据,开展对遥感数据接收和图像处理系统的研制、开发及典型示范,促进我国遥感事业的发展和在国民经济中的应用。 该站设有密云接收站、数据处理室、照相处理室及两个分别从事遥感数据处理系统发展研究和遥感数据应用示范开发的研究室。共有科研人员158人（其中高级29人,中级62人）。 该站的技术设备是从美国引进的成套系统,具有国际80年代初的先进水平。它由接收、数据处理和照像处理三部分组成。接收系统具有X和S波段的接收跟踪能力,并把遥感卫星数据记录在高密度磁带上;数据处理系统由两套
- 197
- |
- 60
- |
- 0
发布时间：2021-06-10 - 摘要：This paper explains the experimental result of land use change monitoring in Nanpi county of Hebei province through applying image processing techniques. The procedure contains: A. calculating brightness index （BI） and perpendicular vegetation index （PVI） of TM and SPOT images received from different time respectively: B. manipulating a change vector in BI-PVI space; C. automatically outputing classified change monitoring image. After verificating the 22 change pieces on output image mentioned above, it has proved that the changes monitored are completely coincide with the practical situation. And it is very possiable to extract the information of land use changes by processing images received from different time and to analyse area changes of cultivated soil and staple crops. So this method could be widely used in land use change monitoring.
- 171
- |
- 272
- |
- 48
发布时间：2021-06-10 - 摘要：As to visual recognition of an image, the pattern （spatial feature） and hue （spectral feature） of the image are used as well as the relations between spots and other kinds" of informations. So it leads to analyse an image by using knowledges of many subjects and to recognize different spots with different knowledges.The ordinary computer classification in digital image processing has low accuracy because it only depends on the statistical decision. The multi-level classification uses several auxiliary data and expert knowledges to make multi-level decisions on the result of the primary classification which only depends on the statistical decision. The final classification image is a composition of decisions of all the levels.In the land use classification of Nanpi county, Hebei, three kinds of decisions are used: A. Introduing informations of linear objects sush as roads and channels on the topographic map to the classification result; B. According to the difference in information on the image between resident area and cultivated land, using texture energy decision to correct some errors, which result from the overlapping of spectral information of resident area and spring sowing land, in the primary classification; C. Avoiding the mixture parts of artificial grassland and orchard by means of the information of soil types, since the artificial grassland is only planted on the saline-alkali land but orchard can never be there.Composing results of the three level classification mentioned above and the primary classification, we have obtained the final classification image in which the classification accuracy of cultivated land has raised from 73.8% in the primary classification to 96.6% and the orchard from 76.7% to 95%.
- 175
- |
- 227
- |
- 23
发布时间：2021-06-10 - 摘要：An important research topic in remotely-sensed image processing and applicatoin is to improve the classification accuracy of TM Landsat image. In this paper, a survey is made on the current classification methods. A new method for TM Landsat image classification using rule-based expert system is discussed.In this method, an image is pre-classified by statistical classification method and "uncertain" pixels are detected. Then "uncertain" pixels are accurately using various types of knowledge and information such as spectrum, topography, soil map, the previous classification result and visual interpretation experiences etc. So the whole image has been classified more accurate-ly.Using this method, we have designed and implemented a preliminari land use classification system. Experiment proved that the accuracy of this new clasification method is 8 percent higher than that of the statistical classification （Maximum likelihood） which only uses multi-spectral information.
- 176
- |
- 338
- |
- 35
发布时间：2021-06-10 - 摘要：Since TM image is applicated in the land resource survey, many research results are different. In view of it, this research analysed and evaluated the applicated effects of TM image in the land use mapping and agiiculture development partition, and make the compared with the application of SPOT multispectral image, selecting Nanpi County of Hebei Province as the test area. The results indicated that the satisfying results can be got using TM image to make land use mapping and agriculture development partition. As the advantage of TM multispectral, it can be got that the similar results to SPOT image. This research provide a sample in order to make the land resource survey and development programme in TM image in our country.
- 154
- |
- 136
- |
- 14
发布时间：2021-06-10 - 摘要：This paper discribes in detail the Microcpmputer Remote Sensing Image Applied Processing System developed by our group The hardware of the System consists of four subsystems which are connected according to distributed model and each of which consists mainly a microcomputer. This System enables one to four persons to work simultaneously and input and output conveniently many kinds of data and images Corresponding to the four hardware subsystems, its software is composed of four software packages: magnetic tape recorder data collecting package, image displaying package thematic mapping package and remote sensing image applied processing package. As the main important part, the forth package has more features of remote sensing application than the most of ordinary image processing packages because it has collected and synthesized various practical processing methods, and it is designed on the basis of the specialists experiments in remote sensing application as well as their working methods.
- 170
- |
- 72
- |
- 1
发布时间：2021-06-10 - 摘要：In this article, TM image data covering nine sample areas of various landscape from the northern frigid temperate zone undulating plain to the southern subtropics hilly land one analysed and compared in many ways. The results indicate that the spectral information of TM image is essentially three to four demensional structure which physical meaning are match with Brightress, Greeness, Temperature and Humidity. In the seven TM bands, band 5 have the most ground information. There is the strong correlation between the three visible bands （band 1, 2, 3） and between the middle-infrared bands （band 5, 7）, which indicate that there is very much "repeatability" or "redundacy" information in these bands. Between band 6 especially band 4 and the other bands is there very low correlation, which is shown that the information of the two bands is with very large independence. Computing twenty kind of combinations indicate that the color images by one of the visible bands, one of the middle-infrared bands and band 4 is generally with the most ground information, in which the combination of band 4, 5 and 3 or band 4, 5 and 1 is the optimal combination.
- 284
- |
- 1819
- |
- 266
发布时间：2021-06-10 - 摘要：In order to certificate the accuracy of Landsat-5 systematically corrected TM image data, an accuracy analysis of four scenes has been conducted based on 1: 50 000 topographic map. The results show that TM image data has high internal geometric fidelity and negligible rotation and scale differences. Polynomial of first degree has proved sufficient to fit full scene to the topographic map to one pixel accuracy. Geodetic error can be corrected by translating the whole TM image along x and y direction.
- 165
- |
- 182
- |
- 20
发布时间：2021-06-10 - 摘要：In order to suit the wide, large guantative and continiously increasing needs of 1: 50,000 survey and mapping of special topics, we use th optical-computer composite processing techniques such as digital interpolation and magnifying, and optimization of band combination, the techniques of making 1:50, 000 high quality TM image have been explored. This article introduces the main steps and key techniques of making 1: 50, 000 TM image, i.e. （1） magnifying TM CCT data by real times （2.28） using interpolation method; （2） obtaining 1: 250,000 TM latent image through 50 um light-spot scanning on C-4500 Scanner; （3） creating 1:50,000 TM image by optical processing The test studies in Nanpi County, Hebei Province; Mulin County, Heilongjiang Province; Laizhou Bay, Shandong Province have achieved good results.
- 142
- |
- 92
- |
- 2
发布时间：2021-06-10 - 摘要：The paper is written at the invitation of Special Bulletin of Industrial University, F. R. Germany for the 80th anniversary birthday of Prof. Wang Zhizhuo. Prof. Wang, the member of Divison of Geoscience in Chinese Academy of Sciences, has very actively adviced and suggested to establish the Institute of Geography, Institute of Remote Sensing Application （IRSA）, and National Laboratory of Resources and Environment Information System （LREIS）. Also he is the vice president of the academic committee both of IRSA and of LREIS. Under the guidance of his scientific thoughts of mathematic analysis and data processing, various applications have been actively being carried out all over the research field on remote sensing in our coun.try. These applications include the geometric correction of Chinese Experimental Science Satellites and orthoimage mapping; digital processing and analysis of international satellite image; and series maps editting and geographic information system construction, etc. His theoretical attributions to Principles of Photogrammetry and Photogrammetric digitized Processing have produced extensive and profound influence on prompting spatial and quantitative analysis in the field of geo-science and realizing modernization.
- 103
- |
- 114
- |
- 6
发布时间：2021-06-10 - 摘要：<正> 该所设有遥感与地图研究室,现有科技人员36人（高级7人,中级16人）。相继开展了山地环境遥感应用与专题制图,计算机制图的应用与方法的研究,建立了一个以山地遥感与山地制图为特色的比较完整的研究系统。已取得的成果有:腾冲航空遥感综合试验（获院一等奖,国家二等奖,1983年）,二滩地区水资源开发航空遥感试验,四川省土地资源遥感调查方法系列化研究（获院二等奖,1988年）,长江三峡工程对生态与环境的影响及其对策研究(院初评为
- 93
- |
- 40
- |
- 0
发布时间：2021-06-10
- Postal code：100190
- Tel：010-58887052 Email：nrsb@aircas.ac.cn
- Technical support is provided by Beijing Founder electronics co., LTD 京ICP备20021838号-9
京公网安备11010802024621 - It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
- Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.
0