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Principles are outlined for the use of sub-satellite soil, air, water, and vegetation samples as an auxiliary source of information in remote sensing studies of vegetation stress caused by air pollution. More specifically, procedures for satellite-synchronous aerial overflights, vegetation transects, water quality measurements, and soil tests are described as a basis for delineating boundaries between areas of vegetation stress and unpolluted areas in an industrialized area in the central Urals. Translated from: Kosmicheskiy monitoring biosfery, Yu. A. Izrael', V. V. Bugrovskiy, and Yu. V. Novikov, eds. Leningrad: Gidrometeoizdat, 1985, pp. 93-99. 相似文献
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The authors present a statistical approach for multi-band image processing based on “synthesizing” processing methods, i.e., methods which transform N original band-specific images into a smaller number of (synthetic) image products. Such techniques are increasingly replacing “one-dimensional” methods (one-to-one correspondence between number of original and processed images) because of the normally greater informational content and enhanced feature discrimination capability afforded by composite image products. The ultimate objective is development of a complex of image processing strategies balancing user demands for information quantity, image diversity, and efficient use of computer time. Translated from: Metody kompleksnykh aerokosmicheskikh issledovaniy Sibiri, L. K. Zyat'kova, ed. Novosibirsk: Nauka, 1985, pp. 84-87. 相似文献
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The authors describe how remote sensing imagery can be employed in the identification of different types of chernozem soils in a predominantly agricultural zone (forest steppe), where natural vegetation (normally one of the best vegetation indicators) has been largely displaced by farm fields. A multi-stage methodology is outlined whereby small-scale imagery is used to delineate large regions of similar bioclimatic-geologic characteristics, from which areas of similar soil formation conditions are distinguished. Multispectral and multitemporal space imagery then is employed to detect less salient ecological-soil differences that can affect phototone and image texture. Translated by Edward Torrey, Alexandria, VA 22308 from: G. V. Dobrovol'skiy and V. L. Andronikov, eds., Aerokosmicheskiye metody v pochvovedenii 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 103–109. 相似文献
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The authors describe the results of their experience in the use of remote sensing imagery to map the distribution of soils within the major natural zones (e.g., wooded steppe, taiga, semidesert) of the USSR. Considerable attention is devoted to instrumental-visual methods of interpretation before the focus shifts to automated interpretation and methods of map compilation, particularly general mapping at intermediate and large scales. One section assesses the relative sizes of mesorelief forms and fields in various natural zones in an effort to determine at what image scales the soil types indicated by these features will be identifiable. Translated by Edward Torrey, Alexandria, VA 22308 from: G. V. Dobrovol'skiy and V. L. Andronikov, eds., Aerokosmicheskiye metody v pochvovedenii 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. 22-34. 相似文献
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A methodology for transmitting satellite information from shipboard receiving stations to onshore image processing centers is described, developed for the purpose of increasing the accuracy of water temperature and other oceanographic measurements taken by infrared scanning radiometers and promoting wider utilization of computers in image processing. Signals are recorded on magnetic tape, modulated, amplified to the normal operational range of a digital-analog signal transformer, and transformed into a sequence of eight-digit binary-decimal numbers, which pass through a photoelectric counter into computer memory. Infrared signals are isolated by an envelope demodulator in an early stage of the process. Translated from: Vestnik Leningradskogo Universiteta, 1985, No. 14, pp. 93-95. 相似文献
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The authors describe strategies for the utilization of digital image processing in the compilation of soil maps at scales of 1:1,000,000 and 1:25,000 for the trans-Volga region of Russia. Particular attention is devoted to an exploration of the effects of variations in soil humus content, texture, and degree of erosion upon spectral brightness coefficients. Results of the mapping demonstrate the promise of digital image processing in the differentiation of a number of chernozem soil subtypes. Translated by Edward Torrey, Alexandria, VA 22308 from: Aerokosmicheskiye metody v pochvovedenii 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. 214–225. 相似文献
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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
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Abstract The goal of this research was to explore the utility of very high spatial resolution, digital remotely sensed imagery for monitoring land‐cover changes in habitat preserves within southern California coastal shrublands. Changes were assessed for Los Penasquitos Canyon Preserve, a large open space in San Diego County, over the 1996 to 1999 period for which imagery was available. Multispectral, digital camera imagery from two summer dates, three years apart, was acquired using the Airborne Data Acquisition and Registration (ADAR) digital‐camera system. These very high resolution (VHR) image data (1m), composed of three visible and one near‐infrared wavebands (V/NIR), were the primary image input for assessing land cover change. Image‐derived datasets generated from georeferenced and registered ADAR imagery included multitemporal overlays and multitemporal band differencing with threshold selection. Two different multitemporal image classifications were generated from these datasets and compared. Single‐date imagery was analyzed interactively with image‐derived datasets and with information from field observations in an effort to discern change types. A ground sampling survey conducted soon after the 1999 image acquisition provided concurrent ground reference data. Most changes occurring within the three‐year interval were associated with transitional phenological states and differential precipitation effects on herbaceous cover. Variations in air temperatures and timing of rainfall contributed to differences that the seven‐week image acquisition offset may have caused. Disturbance factors of mechanical clearing, erosion, potentially invasive plants, and fire were evident and their influence on the presence, absence, and type of vegetation cover were likely sources of change signals. The multitemporal VHR, V/NIR image data enabled relatively fine‐scale land cover changes to be detected and identified. Band differencing followed by multitemporal classification provided an effective means for detecting vegetation increase or decrease. Detailed information on short‐term disturbance effects and long‐term vegetation type conversions can be extracted if image acquisitions are carefully planned and geometric and radiometric processing steps are implemented. 相似文献
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A. S. Alekseyev S. T. Vas'kov V. N. Dement'yev B. K. Kozhevnikov E. G. Mikhal'tsov V. P. Pyatkin 《地理信息系统科学与遥感》2013,50(4):307-310
The authors describe the structure and operations of a special Center for Geographic Information [digital image] Processing, now being established in support of the “Sibir” “program—a comprehensive research project on applications of remote sensing in Siberian resource development undertaken by the Siberian section of the USSR Academy of Sciences. Translations of related papers on technical aspects of image processing, also products of the program's research, will appear in subsequent installments of Mapping Sciences and Remote Sensing. Translated from: Metody kompleksnykh aerokosmicheskikh issledovaniy Sibiri, edited by L. K. Zyat'kova. Novosibirsk: Nauka, 1985, pp. 57-60. 相似文献
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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
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《International Journal of Digital Earth》2013,6(7):737-748
ABSTRACTSupervised image classification has been widely utilized in a variety of remote sensing applications. When large volume of satellite imagery data and aerial photos are increasingly available, high-performance image processing solutions are required to handle large scale of data. This paper introduces how maximum likelihood classification approach is parallelized for implementation on a computer cluster and a graphics processing unit to achieve high performance when processing big imagery data. The solution is scalable and satisfies the need of change detection, object identification, and exploratory analysis on large-scale high-resolution imagery data in remote sensing applications. 相似文献
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A report by Soviet delegates to the 15th Congress of the International Society for Photogrammetry and Remote Sensing provides a forum for a Soviet assessment of foreign achievements in the practical application of remote sensing in various fields of economic activity, particularly oil and gas exploration, prospecting for metallic minerals, forestry, and oceanography. Special emphasis is given to digital image processing for land-use classification, a field in which Soviet researchers are becoming increasingly involved. The Congress is described as contributing greatly to the development of common data processing methodologies and the exchange of information and opinions on common problems. Translated from: Geodeziya i kartografiya, 1985, No. 4, pp. 53-58. 相似文献
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Yu. S. Tyuflin 《地理信息系统科学与遥感》2013,50(3):236-245
A method of compiling lunar thematic photomaps is described, in which telescopically derived photometric data, representing the map theme of albedo variation, is portrayed on a topographic base map prepared from scanner data obtained from a space probe. Digital image processing is employed in a wide range of tasks including data averaging and filtration, and grid and scale transformation. Two maps, representing different versions of final output, are provided: a map with albedo variation displayed according to the shaded-isoline technique, and one in which numerical values are printed over a grid of control points. Translated from: Geodeziya i kartografiya, 1985, No. 1, pp. 38-44. 相似文献
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针对现有的OpenMP和直接的线程并行法难以对遥感影像处理链进行加速的问题,引入流水线概念对复杂的功能链进行并行加速,提出了基于流水线技术的遥感影像并行处理方法。影像处理实验验证了流水线在遥感影像多级连续处理方面的优势。 相似文献
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V. A. Zhivichin 《地理信息系统科学与遥感》2013,50(4):310-316
A method of complex image processing, i.e., the simultaneous use of various kinds of remote sensing imagery in the mapping and study of geographic features, is outlined. It features the use of computerized techniques (a) to identify shots or frames of auxiliary types of imagery containing the same specific geographic features identified on the principal type of imagery [this through the scanning of code lines containing information about the coordinates of imaging, flight direction and altitude of the plane or sensing platform, etc.], and (b) to precisely locate the features of interest within these shots or frames. Translated from: Izvestiya vysshykh uchebnykh zavededeniy, Geodeziya i aerofotos'yemka, 1986, No. 1, pp. 86–91. 相似文献
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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
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A. G. Repin 《地理信息系统科学与遥感》2013,50(4):342-351
The article provides insights derived from conceptualization of the totality of elements (subsystems) of image interpretation as part of a larger system of scientific research. Among the elements discussed in some detail in terms of their impacts on the appearance of features interpreted on remote sensing imagery include solar radiation, the atmosphere, distinctive characteristics of the surface of the area being imaged, the remote sensors employed for image recording, processing techniques, the image medium, and the “human” element (interpreter). It then describes an evolutionary process in image interpretation by which knowledge gained in early stages represents an input leading to refinement of approaches employed in later stages. A final section describes factors contributing to dynamics (“scintillation” or “flickering”) of features on imagery of the same area but recorded at different times or under different imaging conditions. Translated by Edward Torrey, Alexandria, VA 22308 from: Izvestiya Akademii Nauk, seriya geograficheskaya, 1993, No. 3, pp. 102-109. 相似文献