共查询到20条相似文献，搜索用时 62 毫秒
1.
A. L. Revzon 《地理信息系统科学与遥感》2013,50(4):275-284
An image interpretation technique known as “indicational analysis” is applied to engineering geomorphology–i.e., image characteristics visible on remote sensing imagery are used to infer (indicate) the presence of features that are not directly visible. In this case the identification of particular relief forms provides a basis for inferring the level of risk posed by geomorphological hazards to major construction projects such as railroads, pipelines, and highways. A key aspect of the procedure is a multiscalar approach, in which different components of the overall store of information brought to bear on a problem are obtained at different levels of interpretation. Translated from: Geomorfologiya, 1987, No. 2, pp. 35–42. 相似文献
2.
A multiscalar approach to mapping soil-vegetation regions from remote sensing imagery is outlined, using the West Siberian Lowland as a study area. At an initial stage small-scale space imagery is used to identify extensive soil-vegetation regions which extend across nearly the entire Lowland. Subsequent analysis focuses on identification and mapping of increasingly smaller units. The dominant criteria used for image interpretation and regionalization vary at each particular level of analysis, changing from vegetation structure and density at the smallest scales to soil “hydromorphism” (waterlogging) and topographic affiliations for intermediate- and large-scale units. Hydromorphic indicators are stressed as most important overall. Translated from: Distantsionnyye issledovaniya rel'yefa Sibiri, A. L. Yanshin and V. N. Sharapov, eds. Novosibirsk: Nauka, 1985, pp. 51-58. 相似文献
3.
I. K. Lur'ye 《地理信息系统科学与遥感》2013,50(3):255-261
Algorithms, designed for digital image processing in standard mainframe computers and representing sequential stages in a land-use classification procedure, are used to produce maps of agricultural crop types from multispectral satellite imagery. Pixel reflectance values are first grouped according to an unsupervised “rapid classification algorithm,” or data compression procedure. Mean reflectance values of the resulting classes then go into a supervised “sequential clustering algorithm” where classes are refined according to training value and other parameter inputs. The objective is to increase the accessibility of automated image interpretation while balancing classification accuracy and processing time. Translated from: Vestnik Moskovskogo Universiteta, geografiya, 1984, No. 4, pp. 63-69. 相似文献
4.
Yu. F. Knizhnikov 《地理信息系统科学与遥感》2013,50(3):232-235
The author reviews the contributions of the “aerospace” disciplines (remote sensing, photogrammetry, photometry) in the training of cartographers at Moscow University. Changes in the present curriculum are advocated, leading to the emergence of a unified educational discipline referred to alternately as “remote mapping methods,” or “remote sensing and mapping.” Training in this discipline is designed to enhance the interpretation and map compilation skills of cartographers working with space imagery. Translated from: Vestnik Moskovskogo Universiteta, geografiya, 1984, No. 5, pp. 40-43. 相似文献
5.
A methodology for the interpretation and mapping of lineaments and related geological features from medium-resolution, Meteor satellite scanner imagery is described. Special emphasis is placed on improving traditional methods of transferring information interpreted from remote sensing materials onto a cartographic base through compensation for the special character of geometric distortion on scanner imagery and selection of appropriate map projections for the cartographic base. This boils down to the development of computer models for correlating control points on a scanner image and map base, and algorithms for the plotting both of that base and the thematic image elements that are the focus of interest. Translated from: Vestnik Moskovskogo Universiteta, geografiya, 1986, No. 3, pp. 35–40. 相似文献
6.
V. A. Molodozhenov 《地理信息系统科学与遥感》2013,50(3):258-262
An approach to the use of large-scale remote sensing imagery in oil and gas exploration is described, and more specifically, the selection and interpretation of meaningful surface indicators to infer the existence of oil and gas traps in subsurface horizons. Through such “morphostructural” analysis arcuate, concentric relief elements often provide clues to the location of centers of ancient uplift and subsidence, which are then provisionally mapped along with other aspects of structure considered relevant in establishing the location of buried petroleum-bearing horizons. Translated from: Geomorfologiya, 1988, No. 1, pp. 69-73. 相似文献
7.
A. A. Grigor'yev 《地理信息系统科学与遥感》2013,50(4):265-277
The author, a remote sensing specialist in Leningrad University's Department of Atmospheric Physics, describes the use of space imagery in a program for monitoring the city's impacts on the surrounding environment. The paper examines applications of LANDSAT and “Meteor” satellite imagery and “Soyuz-22” space photography in the study of industrial smoke plumes, jet contrails, atmospheric haze, albedo, the urban heat island, urban sprawl (including nighttime imagery), fallout of suspended particulates, and wastewater discharges into the Gulf of Finland. Translated from: Grigor'yev, A. A. Antropogennyye vozdeystviya na prirodnuyu sredy po nablyudeniyam iz kosmosa [Human Impacts on the Environment From Observations From Space]. Leningrad: Nauka, 1985, pp. 129-141 [Chapter 7]. 相似文献
8.
云的存在会对遥感影像的处理及目标识别等产生影响,因此,自动提取云对高分辨率卫星影像的应用具有重要意义。高分影像上更加复杂的云的细节形态及似云目标的干扰,使得高分影像的自动云提取难以达到实用水平。本文以雪地为例,选取形状、纹理和边缘3个差异化特征作为云与似云目标区分的关键,提出了一种区分高分辨率遥感影像中云和似云目标的云检测算法。首先利用Wallis滤波对输入影像进行预处理,增强影像中不同尺度的影像纹理模式;然后对影像进行快速稳定的均值漂移分割,利用灰度和纹理特征构成支持向量机的第一层分类器,将分割后的区域对象分成"云"和普通地物,再利用边缘、形状、纹理等特征结合灰度特征构成支持向量机的第二层分类器,将"云"区分为云区和似云目标;最后使用Grab-cut对云检测结果进行边缘迭代精化。本文算法取得了优良的试验结果,证明了算法在似云目标干扰下对高分辨率遥感影像进行精确云检测的能力。 相似文献
9.
V. I. Kravtsova 《地理信息系统科学与遥感》2013,50(3):169-178
This paper outlines some principles believed necessary for the establishment of integrated collections of remote sensing imagery, including, at the national level, a unified state image repository for the USSR. A multi-criterion classification of imagery is introduced, which provides a framework for structuring such a repository, and a number of measures for evaluating the utility of imagery within it are described. One of the latter is “geographic” resolution (levels of image detail), which provides a relatively straightforward indication of the type of geographic information embedded within particular types of remote sensing imagery. Translated by Jay K. Mitchell, PlanEcon, Inc., Washington, DC 20005 from: Vestnik Moskovskogo Universiteta, geografiya, 1988, No. 6, pp. 53-62. 相似文献
10.
This paper describes a framework for an image processing procedure for operational agricultural crop area estimation. This operational framework has been conceived within the development of an Advanced Agricultural Information System (AAIS) for the “Regione del Veneto “ (RdV ‐ Veneto Region) in northeastern Italy. The objective of this program is to develop the ability to generating timely and accurate area estimates and production information for four major agricultural crops: soybeans, sugar beets, corn, and small grains. AAIS uses state of the art methods in remote sensing and geographic information systems (GIS) technology and integrates a variety of data types including satellite imagery. This paper describes the methodology developed for image and ancillary data processing for the production of crop area statistics. Using a combination of standard unsupervised classification and GIS operations that incorporate knowledge about the agricultural system, a “sequential masking” classification procedure was derived. This sequential masking procedure yielded crop classification accuracies that at the study site level range between 76% and 99% depending on the crop under study. We believe that classification accuracies will improve with full system implementation, along with the incorporation of new and/or improved thematic information and operational experience using AAIS‐based estimation. 相似文献
11.
Yu. F. Knizhnikov 《地理信息系统科学与遥感》2013,50(2):85-92
This paper examines the use of remote sensing imagery in the study of temporal environmental change, the author outlining the principles and methods of what is proposed here as a distinct subfield of “dynamic remote sensing.” Particular emphasis is placed on the use of “multitemporal” space imagery, either actual temporal composites or a series of individual heterochronous images arranged side-by-side to facilitate comparison, in the study of meteorology, oceanography, geomorphology, and hydrology. Applications of dynamic remote sensing are less widespread in socioeconomic disciplines. Translated from: Vestnik Moskovskogo Universiteta, geografiya, 1985, No. 4, pp. 7-13. 相似文献
12.
General principles are outlined for the use of a series of remote sensing images (obtained for the same area of the earth's surface for different points in time) in the detection of significant changes in land use and environmental conditions. Emphasis is placed on visual methods of interpretation, and a number of different methods for graphically analyzing the dynamics of earth surface features on photographic image products are described. A final section describes procedures for cartographically representing the dynamics of features interpreted from multitemporal images. Translated by Jay Mitchell; PlanEcon, Inc.; Washington, DC 20005 from: Vestnik Moskovskogo Universiteta, geografiya, 1987, No. 6, pp. 57-60. 相似文献
13.
机载SAR影像地表要素解译试验研究 总被引：2，自引：1，他引：1
雷达影像以其全天候、全天时、穿透力强的工作能力,成为当前摄影测量与遥感领域的研究热点,近年来机载SAR系统在国内外得到快速发展和应用。本文介绍了高分辨率多极化机载SAR数据的特点,论述了SAR影像的正射纠正,分析了不同地表要素在机载SAR影像中的成像特点和解译方法,并与光学影像作了对比,得出了基于SAR影像地表要素解译的几点看法。 相似文献
14.
Ye. V. Glushko 《地理信息系统科学与遥感》2013,50(4):253-261
Space photography at 1:2,400,000 scale from the “Salyut-6” space station was used to compile maps on the evolution of arid landscapes in the Late Pleistocene and Holocene in western Iraq. The imagery made it possible to trace the development of many ancient natural features and to formulate an interpretation key of landscape elements—formed under a variety of past climatic environments, but subsequently evolving under common, somewhat similar natural conditions. This provides a basis for improved understanding the present state, history of formation, and future transformations of arid landscapes. Translated by Edward Torrey, Alexandria, VA 22308 from: Izvestiya Vsesoyuznogo Geograficheskogo Obshchestva, 1990, No. 3, pp. 255–260. 相似文献
15.
The authors elaborate upon the “multiplicity principle” in remote sensing, i.e., the need for repeated imaging at a variety of scales, spatial resolutions, spectral bands, and times of imaging in order to attain the maximum information possible. They then explore the ways it can be applied in agricultural research, through two different image comparison and interpretation strategies. A detailed example is presented of the use of a multitemporal imaging strategy for the recognition of several agricultural crops from false color composite imagery. Translated by Edward Torrey, Alexandria, VA 22308 from: G. V. Dobrovol'skiy and V. L. Andronikov, eds., Aerokosmicheskiye metody v pochvo-vedenii i ikh ispol'zovaniye v sel'skom khozyaystve: sbornik nauchnykh trudov [Remote Sensing Methods in Soil Science and Their Utilization in Agriculture: A Collection of Scientific Works]. Moscow: Nauka, 1990, pp. 47-55. 相似文献
16.
A paper describing activities of the Laboratory of Remote Sensing Methods at Moscow University presents a chronology of the Laboratory's efforts to improve sensor capabilities for acquiring remote sensing data and to develop more effective image processing techniques. Among the accomplishments cited are early advances in sensor system design and photochemical processing in conjunction with “Salyut” orbital station activities, multispectral imaging experiments in conjunction with high-resolution space photography from the Soyuz-12 (1973) and Soyuz-22 (1976) missions, testing of the first high-resolution Soviet (“Fragment”) scanner imagery (1984), and ongoing work in digital and applied image processing. Translated from: Vestnik Moskovsskogo Universiteta, geografiya, 1987, No. 2, pp. 27-31. 相似文献
17.
遥感图像分区自动分类方法研究 总被引：27，自引：2，他引：27
对判读区域自然景观复杂,数据时相与质量差异较大的遥感图像用常规的分类方法难以达到令人满意的效果,为此,作者采用了一种通过定义图像判读区,分类管理器和改进监督分类算法等方法来实现遥感图像的分区自动分类,以不同时相的TM拼接图像进行分类试验,结果表明:该方法比传统的监督分类方法有明显改进:(1)与整幅图像用同一个标准进行分类的方案相比,其精度显著提高,(2)可在分类前灵活,任意生成所感兴趣的判读区域,(3)在每个分区内可以采取不同的分类方案进行分类,(4)每个分区的分类结果可以保存在同一个文件中,而不需要另外生成新的操作层.因此分类不受次数的限制,可保证分类结果的完整性,每个分区的分类结果也可以保存为单个分区的分类结果. 相似文献
18.
A. I. Sharov 《地理信息系统科学与遥感》2013,50(3):210-213
The author, noting the high cost and complexity of automated methods of processing imagery of the earth's cloud cover, presents a less sophisticated, instrument-aided method yielding similar results. A procedure for analyzing cloud cover patterns based on color synthesis of two-band scanner imagery from Soviet “Meteor” and American NOAA-series weather satellites using a synthesizing projector is outlined. This method adds the interpretation key of color to those of cloud structure and form in the analysis of cloud patterns, enhances cloud-underlying surface contrasts, and compares favorably with more highly automated methods in image preparation and interpretation time. Translated by Jay Mitchell; PlanEcon, Inc.; Washington, DC 20005 from: Izvestiya vysshykh uchebnykh zavedeniy, Geodeziya i aerofotos'yemka, 1987, No. 5, pp. 95-98. 相似文献
19.
The authors review recent developments in the USSR in the use of remote sensing imagery in the analysis, at the world-regional and local levels, of major relief elements (and structural elements manifest in relief) typical of mountainous country. Keys to their interpretation at a variety of scales are described. Case studies and detailed interpretation of imagery in the Soviet Far East and Central Asia (large-scale) and the Caucasus (intermediate-scale) provide for the identification of all morphostructural elements possible through traditional analysis, and in the latter case, for the first direct detection of transverse (cross-cutting) faults. Translated from: Geomorfologiya, 1988, No. 1, pp. 16-29. 相似文献
20.
B. V. Vinogradov 《地理信息系统科学与遥感》2013,50(3):213-224
After a general discussion of principles of remote sensing indication and image recognition theory, the particular errors in this process are analyzed individually: errors in data recording; errors in automated image analysis; errors in interpretation of the content of geosystems; errors in the selection of interpretation keys; and finally errors in generalization and the extrapolation of results. The total error in geosystem indication from remote sensing imagery can be determined by an analysis of these particular errors. Translated by Edward Torrey, Alexandria, VA 22308 from: Geografiya i prirodnyye resursy, 1988, No. 4, pp. 98-107. 相似文献