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Wyszukujesz frazę "Dorozhynskyy, O. L." wg kryterium: Autor


Wyświetlanie 1-3 z 3
Tytuł:
Комплексні пріoритетні заходи для прискорення земельної реформи у Львівсьҡій облаcтi
Priorytetowe, kompleksowe przedsięwzięcia w celu przyspieszenia reformy gruntów w Regionie Lwowskim
Complex priority measures for speeding up ofland reform in Lviv region
Autorzy:
Dorozhynskyy, O. L.
Laveykin, M. I.
Petryshyn, А. G.
Dorozhynska, O. O.
Powiązania:
https://bibliotekanauki.pl/articles/129986.pdf
Data publikacji:
2001
Wydawca:
Stowarzyszenie Geodetów Polskich
Tematy:
reforma gruntów
Lwów
system katastralny
land reform
lions
cadastral system
Opis:
The explanation of expediency of automatic conduction of cadastre is given in paper and main organization, scientific, financial and staff measures for realization of wide-scale program of speeding up of land reform in Ukraine.
W pracy podano podstawy zautomatyzowanego systemy katastralnego i opisano główne zadania, organizacyjne, naukowe, techniczne, finansowe i związane z kształceniem kadry dla realizacji kompleksowego programu przyspieszenia prac katastralnych na Ukrainie.
Źródło:
Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2001, 11; 1-41-1-50
2083-2214
2391-9477
Pojawia się w:
Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ways of improving the accuracy of digital aerial photography by the railway transport inventoy
Autorzy:
Dorozhynskyy, O.
Dychko, L.
Powiązania:
https://bibliotekanauki.pl/articles/100305.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie
Tematy:
inventory
railway
digital aerial camera
spatial resolution (GSD)
atmospheric refraction
phototriangulation
kolej
inwentaryzacja
aparat cyfrowy
zdjęcia lotnicze
Opis:
The development of railway sector around the world has always been a vital issue, as it plays important social, financial and economical role and influences the development of the country a lot. Because of constant growth and modernizing of the railway sector all processes and items of land and property fund have to be monitored. On the basis of the world experience, trends in the development of methods and technologies of area mapping it has been established that for the inventory of land and property fund objects cartographic material at 1 : 500 or 1 : 1000 scales suits the most. With the large amounts of work (for example area of mapping and number of railroad objects) it is reasonable to use digital aerial photography and technology of digital data processing, in particular methods of digital photogrammetry. In order to increase the accuracy of creating the cartographic component, the authors suggest, when choosing the parameters of aerial photography, taking into account spatial resolution of camera system, its geometrical properties, the influence of external factors and first of all the atmospheric refraction. It has been proved that by highly precise aerial photography the accuracy of fixation of angular elements of camera orientation with the help of Inertial Navigation Systems (INS) may be insufficient. Therefore it is recommended to thicken core network using block phototriangulation. This paper presents the description and results of experimental work, which helped to create cartographic material from digital images at 1 : 3000 scale with an accuracy of 4–5 cm, which fully meets the requirements for holding inventory, monitoring, maintenance, design and construction.The development of railway sector around the world has always been a vital issue, as it plays important social, financial and economical role and influences the development of the country a lot. Because of constant growth and modernizing of the railway sector all processes and items of land and property fund have to be monitored. On the basis of the world experience, trends in the development of methods and technologies of area mapping it has been established that for the inventory of land and property fund objects cartographic material at 1 : 500 or 1 : 1000 scales suits the most. With the large amounts of work (for example area of mapping and number of railroad objects) it is reasonable to use digital aerial photography and technology of digital data processing, in particular methods of digital photogrammetry. In order to increase the accuracy of creating the cartographic component, the authors suggest, when choosing the parameters of aerial photography, taking into account spatial resolution of camera system, its geometrical properties, the influence of external factors and first of all the atmospheric refraction. It has been proved that by highly precise aerial photography the accuracy of fixation of angular elements of camera orientation with the help of Inertial Navigation Systems (INS) may be insufficient. Therefore it is recommended to thicken core network using block phototriangulation. This paper presents the description and results of experimental work, which helped to create cartographic material from digital images at 1 : 3000 scale with an accuracy of 4–5 cm, which fully meets the requirements for holding inventory, monitoring, maintenance, design and construction.
Źródło:
Geomatics, Landmanagement and Landscape; 2014, 2; 19-30
2300-1496
Pojawia się w:
Geomatics, Landmanagement and Landscape
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determining the influence of the earthquake on the change(s) of objects using remote sensing data
Autorzy:
Chetverikov, B.
Babiy, L.
Dorozhynskyy, O.
Powiązania:
https://bibliotekanauki.pl/articles/100384.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie
Tematy:
aerial image
space image
Erdas Imagine
vector layer
classification
zdjęcie lotnicze
trzęsienie ziemi
Opis:
Two methods of determining changes of objects (structures) using remote sensing data obtained in different times are considered in this article. The comparison of the percentage of destroyed buildings as a consequence of the earthquake in L'Aquila city (Italy) was implemented. For comparison two ways of data collection were used: obtaining data by the digitalization of objects before and after the disaster (using MapInfo software) and by automatic image classification using a special module Delta Cue (Erdas software).
Źródło:
Geomatics, Landmanagement and Landscape; 2013, 3; 7-15
2300-1496
Pojawia się w:
Geomatics, Landmanagement and Landscape
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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