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Journal articles on the topic 'Photography, Aerial'

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1

Ruzgienė, Birutė. "REQUIREMENTS FOR AERIAL PHOTOGRAPHY." Geodesy and cartography 30, no. 3 (August 3, 2012): 75–79. http://dx.doi.org/10.3846/13921541.2004.9636646.

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The photogrammetric mapping process at the first stage requires planning of aerial photography. Aerial photographs quality depends on the successfull photographic mission specified by requirements that meet not only Lithuanian needs, but also the requirements of the European Union. For such a purpose the detailed specifications for aerial photographic mission for mapping urban territories at a large scale are investigated. The aerial photography parameters and requirements for flight planning, photographic strips, overlaps, aerial camera and film are outlined. The scale of photography, flying height and method for photogrammetric mapping is foreseen as well as tolerances of photographs tilt and swings round (yaw) are presented. Digital camera based on CCD sensors and on-board GPS is greatly appreciated in present-day technologies undertaking aerial mission.
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Solokha, M. O. "Methodical approach to aerial photographs based on aerial photography." Taurian Scientific Herald 1, no. 110 (2019): 142–46. http://dx.doi.org/10.32851/2226-0099.2019.110-1.19.

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Pavlov, V. I. "Aerial photography of the water area." Geodesy and Cartography 956, no. 2 (March 20, 2020): 18–24. http://dx.doi.org/10.22389/0016-7126-2020-956-2-18-24.

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During the development of water resources the characteristics of excitement, direction, and flow velocity, depth, points of bottom, temperature and chemical composition of water is to be taken into account. Some of these indicators are determined through the results of measuring single aerial photographs and their stereoscopic pairs. Making aerial photography (APS) of water surface on technology for topographic land survey enables obtaining only single overlapping aerial photographs, as the water surface is in constant motion. Stereoscopic pairs of aerial photographs can be obtained if photographing is performed simultaneously by two aerial cameras (AFA) with close elements of internal orientation. The author considers two technological schemes of using two AFA in aerial photography of water space
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Takahashi, Y., C. Kuhara, and H. Chikatsu. "IMAGE BLUR DETECTION METHOD BASED ON GRADIENT INFORMATION IN DIRECTIONAL STATISTICS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 91–95. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-91-2020.

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Abstract. Images are visually inspected for defects that affect downstream operations and qualitatively evaluated immediately after they are acquired. Therefore, there is concern that an increase in the number of images taken affects the quality and process of inspections. Among the defects qualitatively detected in visual inspections, blurring is a serious one, despite its low rate of appearance. However, the blurry images detected in the visual inspections can only be solved by the take another photograph. For this reason, it is not acceptable for any blurry images to be missed in the visual inspections. Therefore, quantitative evaluations are an issue when inspecting photographed images. In the present study, its characteristics in aerial photography were investigated and it was established that motion blur occurs in aerial photography. The motion blur is a condition in which the subject appears to have drifted. We focused on the gradient direction of the image, which is considered to be concentrated in a certain direction. The concept of directional statistics was used to statistically process the gradient direction. The evaluation values calculated from the gradient direction statistics tended to increase with the amount of blurring in the aerial photographs. An experiment was conducted to investigate whether images with blurring could be detected in a large number of aerial photographs. As a result, we were able to successfully detect blurred images that had been overlooked during the visual inspection as well as the images that had been previously detected during the visual inspection.
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Piekielek, Nathan. "A semi-automated workflow for processing historic aerial photography." Abstracts of the ICA 1 (July 15, 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-299-2019.

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<p><strong>Abstract.</strong> Libraries, museums and archives were the original big geospatial information repositories that to this day house thousands to millions of resources containing research-quality geographic information. However, these print resources (and their digital surrogates), are not easily incorporated into the contemporary research process because they are not structured data that is required of web-mapping and geographic information system tools. Fortunately, contemporary big data tools and methods can help with the large-scale conversion of historic resources into structured datasets for mapping and spatial analysis.</p><p>Single frame historic aerial photographs captured originally on film (hereafter “photographs”), are some of the most ubiquitous and information-rich geographic information resources housed in libraries, museums and archives. Photographs authentically encoded information about past places and time-periods without the thematic focus and cartographic generalization of historic print maps. As such, they contain important information in nearly every category of base mapping (i.e. transportation networks, populated places etc.), that is useful to a broad spectrum of research projects and other applications. Photographs are also some of the most frustrating historic resources to use due to their very large map-scale (i.e. small geographic area), lack of reference information and often unknown metadata (i.e. index map, flight altitude, direction etc.).</p><p>The capture of aerial photographs in the contiguous United States (U.S.) became common in the 1920s and was formalized in government programs to systematically photograph the nation at regular time intervals beginning in the 1930s. Many of these photography programs continued until the 1990s meaning that there are approximately 70 years of “data” available for the U.S. that is currently underutilized due to inaccessibility and the challenges of converting photographs to structured data. Large collections of photographs include government (e.g. the U.S. Department of Agriculture Aerial Photography Field Office “The Vault” – over 10 million photographs), educational (e.g. the University of California Santa Barbara Library – approximately 2.5 million photographs), and an unknown number non-governmental organizations (e.g. numerous regional planning commissions and watershed conservation groups). Collectively these photography resources constitute an untapped big geospatial data resource.</p><p>U.S. government photography programs such as the National Agricultural Imagery Program continued and expanded in the digital age (i.e. post early 2000s), so that not only is there opportunity to extend spatial analyses back in time, but also to create seamless datasets that integrate with current and expected future government aerial photography campaigns. What is more, satellite imagery sensors have improved to the point that there is now overlap between satellite imagery and aerial photography in terms of many of their technical specifications (i.e. spatial resolution etc.). The remote capture of land surface imagery is expanding rapidly and with it are new opportunities to explore long-term land-change analyses that require historical datasets.</p><p>Manual methods to process photographs are well-known, but are too labour intensive to apply to entire photography collections. Academic research on methods to increase the discoverability of photographs and convert them to geospatial data at large-scale has to date been limited (although see the work of W. Karel et al.). This presentation details a semi-automated workflow to process historic aerial photographs from U.S. government sources and compares the workflow and results to existing methods and datasets. In a pilot test area of 94 photographs in the U.S. state of Pennsylvania, the workflow was found to be nearly 100-times more efficient than commonly employed alternatives while achieving greater horizontal positional accuracy. Results compared favourably to contemporary digital aerial photography data products, suggesting that they are well-suited for integration with contemporary datasets. Finally, initial results of the workflow were incorporated into several existing online discovery and sharing platforms that will be highlighted in this presentation. Early online usage statistics as well as direct interaction with users demonstrates the broad interest and high-impact of photographs and their derived products (i.e. structured geospatial data).</p>
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Eyton, J. Ronald. "Student Aerial Photography." Geocarto International 20, no. 4 (December 2005): 65–73. http://dx.doi.org/10.1080/10106040508542366.

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Matthews, M. C., and C. R. I. Clayton. "The Use of Oblique Aerial Photography to Investigate the Extent and Sequence of Landslipping at Stag Hill, Guildford, Surrey." Geological Society, London, Engineering Geology Special Publications 2, no. 1 (1986): 309–15. http://dx.doi.org/10.1144/gsl.1986.002.01.54.

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AbstractThe University of Surrey is situated on the northern slopes of Stag Hill, below Guildford Cathedral, which occupies the summit. During the investigation for the design of the University, it became apparent that the site was underlain by a large landslip, 500 m wide from east to west and extending 160 m from rear scarp to toe. Considerable effort was made to establish its geometry and extent (Skempton & Petley (1967), and Morgenstern & Tchalenko (1967)).In recent years it was realised that because the construction of the Cathedral extended over a long period of time, the likelihood of Stag Hill being covered by oblique aerial photography would be high. Some forty oblique aerial photographs, spanning the period 1949 to 1982, were collected and analysed together with vertical aerial photographs and topographic maps.Although the landslip is visible on vertical aerial photographs, individual elements are not easily identified. Using oblique photography, in particular that in which recognition of subdued topography has been enhanced by low sun angles, up to six phases of landslipping were identified.This paper uses this example to demonstrate the usefulness of aerial photography in site investigation and in particular the value of oblique photography, a topic which receives little attention in BS 5930:1981 considering how cost effective this tool can be.
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Jianming, Chen. "Map of the Mount Gongga Glacier: A Combination of Terrestrial and Aerial Photogrammetry." Annals of Glaciology 8 (1986): 34–36. http://dx.doi.org/10.1017/s0260305500001099.

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For use in glaciological research, between 1982 and 1984, we succeeded in surveying and mapping the Mount Gongga Glacier, on a scale of 1:25 000, by means of a combination of terrestrial and aerial photogrammetry. This paper describes the method in detail. In the survey area, we set up an independent, triangulation network, with microwave distance measurement, and two, independent, straight-line traverses, for basic control. Control points were observed by intersection. The terrestrial, photogrammetric baselines were projected and corrected into distances on the. plane of the map. Terrestrial photography accounted for the majority of the photographs of the survey area. Surveying and mapping of planimetrie and topographic features were completed on a stereo-autograph, using plates mainly from terrestrial photogrammetry. Where these data were insufficient, they were supplemented by aerial photography, plotted on a photographic plotting instrument. Orientation points of the aerial photographs were established by terrestrial, photogrammetric analysis and located on the map by an optical, mechanical method. The practical result showed that a combination of terrestrial and aerial photogrammetry, in mapping a high, mountain, glacier area, on a large scale, is more feasible and flexible than other methods and more economical as well.
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Jianming, Chen. "Map of the Mount Gongga Glacier: A Combination of Terrestrial and Aerial Photogrammetry." Annals of Glaciology 8 (1986): 34–36. http://dx.doi.org/10.3189/s0260305500001099.

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For use in glaciological research, between 1982 and 1984, we succeeded in surveying and mapping the Mount Gongga Glacier, on a scale of 1:25 000, by means of a combination of terrestrial and aerial photogrammetry. This paper describes the method in detail.In the survey area, we set up an independent, triangulation network, with microwave distance measurement, and two, independent, straight-line traverses, for basic control. Control points were observed by intersection. The terrestrial, photogrammetric baselines were projected and corrected into distances on the. plane of the map.Terrestrial photography accounted for the majority of the photographs of the survey area. Surveying and mapping of planimetrie and topographic features were completed on a stereo-autograph, using plates mainly from terrestrial photogrammetry. Where these data were insufficient, they were supplemented by aerial photography, plotted on a photographic plotting instrument. Orientation points of the aerial photographs were established by terrestrial, photogrammetric analysis and located on the map by an optical, mechanical method.The practical result showed that a combination of terrestrial and aerial photogrammetry, in mapping a high, mountain, glacier area, on a large scale, is more feasible and flexible than other methods and more economical as well.
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10

Pisetskaya, Olga, Yanina Isayeva, and Maksim Goutsaki. "Application of Unmanned Flying Vehicle for Obtaining Digital Orthofotomaps." Baltic Surveying 11 (November 20, 2019): 60–69. http://dx.doi.org/10.22616/j.balticsurveying.2019.018.

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Nowadays, surveys using unmanned aerial vehicles is becoming popular. The resulting orthophotomap is the final product for creating digital plans and cardboard. The objectives of the study are to study the possibilities of obtaining orthophotomaps from survey materials using unmanned aerial vehicles based on the results of the experiment. The article describes various types of aerial photography. Some types of unmanned flying vehicles to conduct aerial photography for the purpose of monitoring, engineering surveys, inventory of agricultural land, and crop forecasts are considered. A description of aerial photography surveying is given on the example of the city of Dzerzhinsk, Minsk Region, which is performed taking into account the unmanned flying vehicles of GeoScan 201 and the Republican agricultural aero-geodesic unitary enterprise BelPSHAGI. A description of the GeoScan Planner software and basic pre-flight preparation is given. The stages of the preparatory work before the aerial photography, the creation of the planning and high-altitude geodetic justification, the implementation of aerial photography procedures, the steps of the aerial photograph anchorage procedure are considered. Agisoft Photoscan, which allows to get clouds of points, surfaces, 3D models and orthophotomaps using digital raster images are presented. The map of heights (DEM) of the terrain and the orthophotomap was made on the basis of a dense points cloud. According to the results of the research, a conclusion was made on the possibility of using aerial photography materials obtained using unmanned flying vehicles to get orthophotomaps of the required accuracy.
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11

Kirby, R. P. "Small format aerial photography." ISPRS Journal of Photogrammetry and Remote Sensing 51, no. 6 (December 1996): 316–17. http://dx.doi.org/10.1016/s0924-2716(96)00032-9.

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12

Mauelshagen, L. "LOW ALTITUDE AERIAL PHOTOGRAPHY." Photogrammetric Record 12, no. 68 (August 26, 2006): 239–41. http://dx.doi.org/10.1111/j.1477-9730.1986.tb00561.x.

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Rieke-Zapp, Dirk. "Small-Format Aerial Photography." Photogrammetric Record 26, no. 134 (June 2011): 277. http://dx.doi.org/10.1111/j.1477-9730.2011.00637_2.x.

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Красноруцкий, Андрей Александрович, Сергей Сергеевич Шульгин, Анна Владимировна Хаханова, and Дмитрий Владимирович Баранник. "МЕТОД ОПРЕДЕЛЕНИЯ СИЛЬНО ИНФОРМАТИВНЫХ СЕГМЕНТОВ АЭРОФОТОСНИМКА." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 1 (February 23, 2018): 15–22. http://dx.doi.org/10.32620/reks.2018.1.02.

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A variant of solving the problem of reducing the informative intensity of the video stream coming from the aircraft without loss of its efficiency and reliability is discussed. The analysis of aerial photographs, which constitute informative redundancy and subsequently complicate the process of its interpretation is made. The implementation of decryption coding technology for aerial photography is disclosed. A model for the classification of informative segments of an aerial photograph is considered. The direction of reducing the information redundancy of aerial photographs with preservation of key information to its interpretation is proposed. The substantiation of a method of exact allocation of highly informative segments from the whole aerial photograph, which carry the maximum information objects in the interests of interpretation is given. A technological concept of an effective syntactic description of the elements of sufficiently informative segments of an aerial photo is taken into account, which takes into account the characteristics of the transformant components of the discrete cosine transform. Moreover, such a concept is aimed at maximum preservation of key information to decipher the whole aerial photo. A method is constructed for accurately isolating highly informative segments from the entire aerial photograph, which carry the maximum information objects in the interest of deciphering. This will allow to allocate and completely transfer not distorted key information to the deciphering of the whole aerial photo. That, in turn, will shorten the time and increase the probability of correct interpretation. A promising technological concept of an effective syntactic description of the elements of sufficiently informative segments of an aerial photograph that takes into account the characteristics of the DCT transformant components. The scheme for evaluating the significance of transformants of an aerial photograph informative segments is considered. It is substantiated that the proposed version will provide simultaneous reduction of the information necessary for presentation of service data and will create prerequisites for effective reduction of informative intensity of the whole segment of the aerial reconnaissance
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Suroso, Indreswari, and Erwhin Irmawan. "Analysis Of Aerial Photography With Drone Type Fixed Wing In Kotabaru, Lampung." Journal of Applied Geospatial Information 2, no. 1 (May 4, 2018): 102–7. http://dx.doi.org/10.30871/jagi.v2i1.738.

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In the world of photography is very closely related to the unmanned aerial vehicle called drones. Drones mounted camera so that the plane is pilot controlled from the mainland. Photography results were seen by the pilot after the drone aircraft landed. Drones are unmanned drones that are controlled remotely. Unmanned Aerial Vehicle (UAV), is a flying machine that operates with remote control by the pilot. Methode for this research are preparation assembly of drone, planning altitude flying, testing on ground, camera of calibration, air capture, result of aerial photos and analysis of result aerial photos. There are two types of drones, multicopter and fixed wing. Fixed wing has an airplane like shape with a wing system. Fixed wing use bettery 4000 mAh . Fixed wing drone in this research used mapping in This drone has a load ability of 1 kg and operational time is used approximately 30 minutes for an areas 20 to 50 hectares with a height of 100 m to 200 m and payload 1 kg above ground level. The aerial photographs in Kotabaru produce excellent aerial photographs that can help mapping the local government in the Kotabaru region.
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Aber, James S., Susan W. Aber, Juraj Janočko, Ryszard Zabielski, and Maria Górska-Zabielska. "High-altitude kite aerial photography." Transactions of the Kansas Academy of Science 111, no. 1 & 2 (April 2008): 49–60. http://dx.doi.org/10.1660/0022-8443(2008)111[49:hkap]2.0.co;2.

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Siejka, Z., and R. Mielimąka. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 81 (July 10, 2015): 5–15. http://dx.doi.org/10.23939/istcgcap2015.01.005.

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Paziаk, M. V., and F. D. Zablotskyi. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 81 (July 10, 2015): 16–24. http://dx.doi.org/10.23939/istcgcap2015.01.016.

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Тretyak, К. R., and K. B. Smolii. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 81 (July 10, 2015): 25–45. http://dx.doi.org/10.23939/istcgcap2015.01.025.

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Marchenko, A. N., and A. N. Lopushanskyy. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 81 (July 10, 2015): 46–58. http://dx.doi.org/10.23939/istcgcap2015.01.046.

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Lityns’kyy, V., A. Vivat, S. Periy, and S. Lityns’kyy. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 81 (July 10, 2015): 59–65. http://dx.doi.org/10.23939/istcgcap2015.01.059.

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Melnyk, V. M., V. L. Rasiun, and N. V. Lavrenchuk. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 81 (July 10, 2015): 66–73. http://dx.doi.org/10.23939/istcgcap2015.01.066.

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Riabchii,, V. A., and V. V. Riabchii. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 81 (July 10, 2015): 74–81. http://dx.doi.org/10.23939/istcgcap2015.01.074.

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Oleskiv, R., and V. Say. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 81 (July 10, 2015): 82–89. http://dx.doi.org/10.23939/istcgcap2015.01.082.

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Vovk, А. А., V. Glotov, А. Guninа, А. Мalitskyy, К. Тretyak, and А. Tserklevych. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 81 (July 10, 2015): 90–103. http://dx.doi.org/10.23939/istcgcap2015.01.090.

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Chetverikov, B. V., and M. T. Protsyk. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 81 (July 10, 2015): 104–11. http://dx.doi.org/10.23939/istcgcap2015.01.104.

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Ivanchuk, О. М. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 81 (July 10, 2015): 112–20. http://dx.doi.org/10.23939/istcgcap2015.01.112.

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Perovych, I. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 81 (July 10, 2015): 121–30. http://dx.doi.org/10.23939/istcgcap2015.01.121.

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Danylo, O. Y., R. A. Bun, and P. Tymków. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 81 (July 10, 2015): 131–41. http://dx.doi.org/10.23939/istcgcap2015.01.131.

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Yankiv-Vitkovska, L., S. Savchuk, and V. Pauchok. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 82 (December 26, 2015): 5–12. http://dx.doi.org/10.23939/istcgcap2015.02.005.

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Marchenko, A. N., and YU O. Lukyanchenko. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 82 (December 26, 2015): 13–18. http://dx.doi.org/10.23939/istcgcap2015.02.013.

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Periy, S. S. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 82 (December 26, 2015): 19–28. http://dx.doi.org/10.23939/istcgcap2015.02.019.

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Trevoho, I. S., I. M. TSyupak, and P. I. Volchko. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 82 (December 26, 2015): 29–40. http://dx.doi.org/10.23939/istcgcap2015.02.029.

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Lytvyn, O. H., N. I. Holubinka, and Yu I. Holubinka. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 82 (December 26, 2015): 41–47. http://dx.doi.org/10.23939/istcgcap2015.02.041.

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Riabchii, V. V. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 82 (December 26, 2015): 48–58. http://dx.doi.org/10.23939/istcgcap2015.02.048.

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Tereshchuk, O., I. Nystoriak, and R. Shulc. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 82 (December 26, 2015): 59–72. http://dx.doi.org/10.23939/istcgcap2015.02.059.

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Tadyeyev, O. A. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 82 (December 26, 2015): 73–94. http://dx.doi.org/10.23939/istcgcap2015.02.073.

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Glotov, V. M., and KH I. Marusazh. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 82 (December 26, 2015): 95–109. http://dx.doi.org/10.23939/istcgcap2015.02.095.

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Hubar, Yu. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 82 (December 26, 2015): 110–35. http://dx.doi.org/10.23939/istcgcap2015.02.110.

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Perovych, І., L. Perovych, O. Ludchak, and T. Martunyk. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2015, no. 82 (December 26, 2015): 136–41. http://dx.doi.org/10.23939/istcgcap2015.02.136.

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Mielimąka, Ryszard, and Paweł Sikora. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2016, no. 83 (September 25, 2016): 5–12. http://dx.doi.org/10.23939/istcgcap2016.01.005.

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Palianytsia, B. B., V. R. Oliynyk, and V. V. Boyko. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2016, no. 83 (September 25, 2016): 13–20. http://dx.doi.org/10.23939/istcgcap2016.01.013.

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Savchuk, S., and F. Zablotskyi. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2016, no. 83 (September 25, 2016): 21–33. http://dx.doi.org/10.23939/istcgcap2016.01.021.

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Doskich, S. V. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2016, no. 83 (September 25, 2016): 34–42. http://dx.doi.org/10.23939/istcgcap2016.01.034.

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Abdallah, R. A., and B. V. CHetverikov. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2016, no. 83 (September 25, 2016): 43–52. http://dx.doi.org/10.23939/istcgcap2016.01.043.

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Hlotov, V. M., and А. V. Hunina. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2016, no. 83 (September 25, 2016): 53–63. http://dx.doi.org/10.23939/istcgcap2016.01.053.

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Lozynskyi, V. А., V. I. Nikulishyn, К. R. Tretyak, and E. O. SHylo. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2016, no. 83 (September 25, 2016): 64–82. http://dx.doi.org/10.23939/istcgcap2016.01.064.

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Perovych, І. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2016, no. 83 (September 25, 2016): 83–89. http://dx.doi.org/10.23939/istcgcap2016.01.083.

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Hubar, YU. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2016, no. 83 (September 25, 2016): 90–99. http://dx.doi.org/10.23939/istcgcap2016.01.090.

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Malashevskyi, M. A., and O. A. Bugaіenko. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 2016, no. 83 (September 25, 2016): 100–111. http://dx.doi.org/10.23939/istcgcap2016.01.100.

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