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Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/45907
Title: Methods of creation and practical application of mask-maps of high-level terrain objects at orthotransformation of digital aerial photographs
Other Titles: Спосіб створення та практичне застосування карти-маски високих об’єктів місцевості для ортотрансформування цифрових аерознімків
Authors: Колб, І. З.
Kolb, I.
Affiliation: Національний університет “Львівська політехніка”
Lviv Polytechnic National University
Bibliographic description (Ukraine): Kolb I. Methods of creation and practical application of mask-maps of high-level terrain objects at orthotransformation of digital aerial photographs / I. Kolb // Geodesy, cartography and aerial photography. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 89. — P. 29–35.
Bibliographic description (International): Kolb I. Methods of creation and practical application of mask-maps of high-level terrain objects at orthotransformation of digital aerial photographs / I. Kolb // Geodesy, cartography and aerial photography. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 89. — P. 29–35.
Is part of: Геодезія, картографія і аерофотознімання (89), 2019
Geodesy, cartography and aerial photography (89), 2019
Journal/Collection: Геодезія, картографія і аерофотознімання
Volume: 89
Issue Date: 28-Feb-2019
Publisher: Видавництво Львівської політехніки
Lviv Politechnic Publishing House
Place of the edition/event: Львів
Lviv
UDC: 528.92
Keywords: аерознімання
ортофототрансформування
ортофотоплан
зшивання ортознімків
Aerial photography
orthophototransformation
orthophotoplan
orthoimage stitching
Number of pages: 7
Page range: 29-35
Start page: 29
End page: 35
URI: https://ena.lpnu.ua/handle/ntb/45907
URL for reference material: https://www.researchgate.net/publication/328227601_An_improved_approach_for_generating_glo
References (Ukraine): Goshtasby, A. A. (2005). 2-D and 3-D Image
Registration for Medical, Remote Sensing, and
Industrial Applications. John Wiley & Sons.
Baltsavias, E. & Käser, Ch. (1998). DTM and
orthoimage generation – a thorough analysis and
comparison of four digital photogrammetric
systems. IAPRS, 32, Part 4, Stuttgart, FRG.
Bielski, C., Grazzini, J., & Soille, P. (2007). Automated
morphological image composition for mosaicing
large image data sets. International Geoscience and
Remote Sensing Symposium (IGARSS), 4068–4071.
doi:10.1109/IGARSS.2007.4423743
Chen, Q., Sun, M., Hu, X., & Zhang, Z. (2019) An
improved approach for generating globally
consistent seamline networks for aerial image
mosaicking. doi:10.3390/rs61212334. Available
from:https://www.researchgate.net/publication/328227601_An_improved_approach_for_generating_glo
bally_consistent_seamline_networks_for_aerial_ima
ge_mosaicking [accessed Apr 23 2019]
Georgopoulos, A., & Skarlatos, D. (2003). A novel
method for automating the checking and correction
of digital elevation models using orthophotographs.
The Photogrammetric Record. 18. 156–163.
doi:10.1111/0031-868X.t01-1-00015.
Kerschner, M. (2000). Twin snakes for determining
seam lines in orthoimage mosaicking. International
Archives of Photogrammetry and Remote Sensing.
Vol. XXXIII, Part B4. Amsterdam 2000, 454–461
Li P., Dong Y., Hu Y., Li X., & Tan P. (2018). A
method for the seamlines network automatic
selection based on building vector. ISPRS –
International Archives of the Photogrammetry,
Remote Sensing and Spatial Information Sciences.
XLII-3. 909-913. 10.5194/isprs-archives-XLII-3-909-2018.
Remondino, F., Spera, M.G., Nocerino E., Menna F.,
Nex F., & Gonizzi B. S. (2013). Dense image
matching: Comparisons and analyses. IEEE
Proc. Digital Heritage Conference. Marceille,
France, 2013. doi:10.1109/DigitalHeritage. 2013.6743712.
Demianov, V. V., & Saveleva, E. A. (2010).
Geostatistics. Theory and practice. Nauka.
Dorozhynskyi, O. L., & Tukai, R. (2008).
Fotogrammetric. Lviv Polytechnic Publishing
House.
Instruction on topographic scaling 1: 5000, 1: 2000, 1: 1000 and 1: 500. (HKNTA-2.04-02-98), Order of
the Main Department of Geodesy, Cartography and
Cadastre under the Cabinet of Ministers of
Ukraine. No. 56 dated 09.04.98. (in the wording of 27.07.99)
Kadnychanskyi, S. A. (2010). Substantiation of the
requirements for the digital elevation model for
orthophototransformation of aerial and satellite
images. Yzvestyia vysshykh uchebnykh zavedenyi
heodezyia y aэrofotosemka. 5, 49–54.
Dorozhynskyi, O. L. (2015). Mathematical models of
analytical and space photogrammetry. Lviv
Polytechnic Publishing House.
Chybunychev, A. A. (2002). Construction of digital
orthoimages taking into account the heights of
artificial structures. Yzvestyia vysshykh uchebnykh
zavedenyi. Heodezyia y aerofotosemka. 6, 76–81
References (International): Goshtasby, A. A. (2005). 2-D and 3-D Image
Registration for Medical, Remote Sensing, and
Industrial Applications. John Wiley & Sons.
Baltsavias, E. & Käser, Ch. (1998). DTM and
orthoimage generation – a thorough analysis and
comparison of four digital photogrammetric
systems. IAPRS, 32, Part 4, Stuttgart, FRG.
Bielski, C., Grazzini, J., & Soille, P. (2007). Automated
morphological image composition for mosaicing
large image data sets. International Geoscience and
Remote Sensing Symposium (IGARSS), 4068–4071.
doi:10.1109/IGARSS.2007.4423743
Chen, Q., Sun, M., Hu, X., & Zhang, Z. (2019) An
improved approach for generating globally
consistent seamline networks for aerial image
mosaicking. doi:10.3390/rs61212334. Available
from:https://www.researchgate.net/publication/328227601_An_improved_approach_for_generating_glo
bally_consistent_seamline_networks_for_aerial_ima
ge_mosaicking [accessed Apr 23 2019]
Georgopoulos, A., & Skarlatos, D. (2003). A novel
method for automating the checking and correction
of digital elevation models using orthophotographs.
The Photogrammetric Record. 18. 156–163.
doi:10.1111/0031-868X.t01-1-00015.
Kerschner, M. (2000). Twin snakes for determining
seam lines in orthoimage mosaicking. International
Archives of Photogrammetry and Remote Sensing.
Vol. XXXIII, Part B4. Amsterdam 2000, 454–461
Li P., Dong Y., Hu Y., Li X., & Tan P. (2018). A
method for the seamlines network automatic
selection based on building vector. ISPRS –
International Archives of the Photogrammetry,
Remote Sensing and Spatial Information Sciences.
XLII-3. 909-913. 10.5194/isprs-archives-XLII-3-909-2018.
Remondino, F., Spera, M.G., Nocerino E., Menna F.,
Nex F., & Gonizzi B. S. (2013). Dense image
matching: Comparisons and analyses. IEEE
Proc. Digital Heritage Conference. Marceille,
France, 2013. doi:10.1109/DigitalHeritage. 2013.6743712.
Demianov, V. V., & Saveleva, E. A. (2010).
Geostatistics. Theory and practice. Nauka.
Dorozhynskyi, O. L., & Tukai, R. (2008).
Fotogrammetric. Lviv Polytechnic Publishing
House.
Instruction on topographic scaling 1: 5000, 1: 2000, 1: 1000 and 1: 500. (HKNTA-2.04-02-98), Order of
the Main Department of Geodesy, Cartography and
Cadastre under the Cabinet of Ministers of
Ukraine. No. 56 dated 09.04.98. (in the wording of 27.07.99)
Kadnychanskyi, S. A. (2010). Substantiation of the
requirements for the digital elevation model for
orthophototransformation of aerial and satellite
images. Yzvestyia vysshykh uchebnykh zavedenyi
heodezyia y aerofotosemka. 5, 49–54.
Dorozhynskyi, O. L. (2015). Mathematical models of
analytical and space photogrammetry. Lviv
Polytechnic Publishing House.
Chybunychev, A. A. (2002). Construction of digital
orthoimages taking into account the heights of
artificial structures. Yzvestyia vysshykh uchebnykh
zavedenyi. Heodezyia y aerofotosemka. 6, 76–81
Content type: Article
Appears in Collections:Геодезія, картографія і аерофотознімання. – 2019. – Випуск 89

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