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Using the Military Geographical Institute Photogrammetric Documentation Archive Data for Scientific and Other Research - The Necessity and Importance of Digitization
Keywords:
Military Geographical Institute, aerial photogrammetrical images, photogrammetric documentation archive, digitizing, spatial analysis.
Abstract:
The usage of aero photogrammetric methods in spatial data processing can provide important researching information, such as: soil erosion or phenomena of landslides, changes in forests and other vegetation, etc. The comparative analysis of archive aerial photogrammetrical images (API) and the latest aerial recording sessions can acquire information about the nature and trend of the problem, as well as the conclusions for taking preventive and corrective measures. This paper emphasizes the necessity and importance of the digitization of the Military Geographical Institute (MGI) photogrammetric documentation archive data in order to provide possibilities of using those archive data for scientific research. This paper, apart from introduction and conclusion, consists of three parts: general information on MGI and photogrammetric documentation archive; general information on analog to digital API data conversion process; the necessity and importance of the MGI photogrammetric documentation archive digitization.
CITATION:
IEEE format
S. Bakrač, Z. Milonjić, D. Đorđević, Z. Srdić, S. Tatomirović, “Using the Military Geographical Institute Photogrammetric Documentation Archive Data for Scientific and Other Research - The Necessity and Importance of Digitization,” in Sinteza 2017 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2017, pp. 40-43. doi:10.15308/Sinteza-2017-40-43
APA format
Bakrač, S., Milonjić, Z., Đorđević, D., Srdić, Z., Tatomirović, S. (2017). Using the Military Geographical Institute Photogrammetric Documentation Archive Data for Scientific and Other Research - The Necessity and Importance of Digitization. Paper presented at Sinteza 2017 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2017-40-43
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