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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-1-2024
https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-291-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-291-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
10 May 2024
| 10 May 2024
Multi-sensor Data Analysis for Aerial Image Semantic Segmentation and Vectorization
Vladimir A. Knyaz
Moscow Institute of Physics and Technology (MIPT), Moscow, Russia
State Research Institute of Aviation Systems (GosNIIAS), Moscow, Russia
Vladimir V. Kniaz
Moscow Institute of Physics and Technology (MIPT), Moscow, Russia
State Research Institute of Aviation Systems (GosNIIAS), Moscow, Russia
Sergey Yu. Zheltov
State Research Institute of Aviation Systems (GosNIIAS), Moscow, Russia
Kirill S. Petrov
State Research Institute of Aviation Systems (GosNIIAS), Moscow, Russia
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 777–783, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-777-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-777-2020, 2020
A. V. Gaboutchian, V. A. Knyaz, N. A. Leybova, H. Y. Simonyan, M. M. Novikov, S. V. Apresyan, S. A. Cherebylo, and G. R. Petrosyan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 845–850, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-845-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-845-2020, 2020
A. V. Gaboutchian, V. A. Knyaz, M. M. Novikov, S. V. Vasilyev, N. A. Leybova, D. V. Korost, S. A. Cherebylo, and A. A. Kudaev
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 851–856, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-851-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-851-2020, 2020
V. A. Knyaz, V. V. Kniaz, M. M. Novikov, and R. M. Galeev
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 857–862, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-857-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-857-2020, 2020
V. A. Knyaz, D. G. Stepaniants, E. V. Ippolitov, and M. M. Novikov
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 963–968, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-963-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-963-2020, 2020
A. V. Gaboutchian and V. A. Knyaz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W18, 53–57, https://doi.org/10.5194/isprs-archives-XLII-2-W18-53-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W18-53-2019, 2019
V. A. Knyaz and P. V. Moshkantsev
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W18, 79–84, https://doi.org/10.5194/isprs-archives-XLII-2-W18-79-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W18-79-2019, 2019
A. V. Gaboutchian, V. A. Knyaz, and S. Apresyan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W12, 69–73, https://doi.org/10.5194/isprs-archives-XLII-2-W12-69-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W12-69-2019, 2019
A. V. Gaboutchian, V. A. Knyaz, N. A. Leybova, G. Petrosyan, H. Simonyan, and S. V. Vasilyev
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W12, 75–80, https://doi.org/10.5194/isprs-archives-XLII-2-W12-75-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W12-75-2019, 2019
V. A. Knyaz, A. A. Maksimov, and M. M. Novikov
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W12, 117–122, https://doi.org/10.5194/isprs-archives-XLII-2-W12-117-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W12-117-2019, 2019
V. V. Kniaz, F. Remondino, and V. A. Knyaz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 403–408, https://doi.org/10.5194/isprs-archives-XLII-2-W9-403-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-403-2019, 2019
A. G. Chibunichev, V. A. Knyaz, D. V. Zhuravlev, and V. M. Kurkov
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 235–240, https://doi.org/10.5194/isprs-archives-XLII-2-235-2018, https://doi.org/10.5194/isprs-archives-XLII-2-235-2018, 2018
A. Gaboutchian, H. Simonyan, V. Knyaz, G. Petrosyan, L. Ter-Vardanyan, N. A. Leybova, and S. V. Apresyan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 339–345, https://doi.org/10.5194/isprs-archives-XLII-2-339-2018, https://doi.org/10.5194/isprs-archives-XLII-2-339-2018, 2018
V. Gorbatsevich, Y. Vizilter, V. Knyaz, and A. Moiseenko
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 379–384, https://doi.org/10.5194/isprs-archives-XLII-2-379-2018, https://doi.org/10.5194/isprs-archives-XLII-2-379-2018, 2018
V. A. Knyaz, N. A. Leybova, R. Galeev, M. Novikov, and A. V. Gaboutchian
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 525–530, https://doi.org/10.5194/isprs-archives-XLII-2-525-2018, https://doi.org/10.5194/isprs-archives-XLII-2-525-2018, 2018
M. A. Lebedev, Y. V. Vizilter, O. V. Vygolov, V. A. Knyaz, and A. Y. Rubis
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 565–571, https://doi.org/10.5194/isprs-archives-XLII-2-565-2018, https://doi.org/10.5194/isprs-archives-XLII-2-565-2018, 2018
Y. V. Vizilter, A. Y. Rubis, and S. Y. Zheltov
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 403–410, https://doi.org/10.5194/isprs-archives-XLII-1-W1-403-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-403-2017, 2017
V. A. Knyaz, S. Y. Zheltov, and A. Chibunichev
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W4, 109–114, https://doi.org/10.5194/isprs-archives-XLII-2-W4-109-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W4-109-2017, 2017
V. A. Knyaz and A. G. Chibunichev
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 515–520, https://doi.org/10.5194/isprs-archives-XLI-B5-515-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-515-2016, 2016
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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