Aerophototopography (Aerial Surveying And Photogrammetry) | Page 41 | Geodesy and cartography

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Algorithm for determining the orientation elements of an infrared image obtained from a drone using reference points Mokrova S.M., Petrov R.P., Milich V.N.	41-50

№: 3
Certification testing hardware-and-software complex based on unmanned aerial vehicle “Geoscan 401” Kadnichanskiy S.A., Kurkov M.V., Kurkov V.M., Chibunichev Aleksandr	32-38

№: 2
Aerial photography of the water area Pavlov V.I.	18-24

№: 1
Research tests of the Geoscan 101, the Geoscan 201 hardware-and-software complexes Babashkin N.M., Kadnichanskiy S.A., Nekhin S.S.	19-25

№: 11
Matters of choosing the pixel size in topographic aerial photography Yurchenko V.I.	27-39

№: 9
Assessment of recommended and acceptable image quality indicators’ values, based on materials, obtained with various aerial surveying systems for mapping purposes Anikeeva I.A.	30-40
Satellite and aerial imagery geo-referencing using ground features Aksenov A.L., Kozlov O.I.	21-29

№: 8
Photogrammetry in real estate cadaster Alyabyev A.A., Litvintcev K.A., Kobzev A.A.	27-35
Photogrammetric processing and application of multi-temporal satellite imagery stereopairs Permyakov R.V.	36-44

№: 6
Coordinate binding of images for designing phototrangulation Pantushin V.A., Andreev A.A.	47-54

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