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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIV-2/W1-2021
https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-125-2021
© Author(s) 2021. 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-XLIV-2-W1-2021-125-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
15 Apr 2021
| 15 Apr 2021
DEEP LEARNING FOR CODED TARGET DETECTION
V. V. Kniaz
State Res. Institute of Aviation Systems (GosNIIAS), 125319, 7, Victorenko str., Moscow, Russia
Moscow Institute of Physics and Technology (MIPT), Russia
L. Grodzitskiy
State Res. Institute of Aviation Systems (GosNIIAS), 125319, 7, Victorenko str., Moscow, Russia
V. A. Knyaz
State Res. Institute of Aviation Systems (GosNIIAS), 125319, 7, Victorenko str., Moscow, Russia
Moscow Institute of Physics and Technology (MIPT), Russia
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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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