|
|
Publications in Math-Net.Ru |
Citations |
|
2022 |
1. |
M. V. Gashnikov, A. V. Kuznetsov, “Detection of artificial fragments embedded in remote sensing images by adversarial neural networks”, Computer Optics, 46:4 (2022), 643–649 |
|
2020 |
2. |
A. V. Kuznetsov, M. V. Gashnikov, “Remote sensing data retouching based on image inpainting algorithms in the forgery generation problem”, Computer Optics, 44:5 (2020), 763–771 |
4
|
3. |
M. V. Gashnikov, “Parameterized interpolation for fusion of multidimensional signals of various resolutions”, Computer Optics, 44:3 (2020), 436–440 |
2
|
4. |
M. V. Gashnikov, “Adaptive interpolation based on optimization of the decision rule in a multidimensional feature space”, Computer Optics, 44:1 (2020), 101–108 |
5
|
|
2019 |
5. |
M. V. Gashnikov, “Optimization of the multidimensional signal interpolator in a lower dimensional space”, Computer Optics, 43:4 (2019), 653–660 |
7
|
|
2018 |
6. |
A. I. Maksimov, M. V. Gashnikov, “Adaptive interpolation of multidimensional signals for differential compression”, Computer Optics, 42:4 (2018), 679–687 |
24
|
7. |
M. V. Gashnikov, “Interpolation based on context modeling for hierarchical compression of multidimensional signals”, Computer Optics, 42:3 (2018), 468–475 |
|
2017 |
8. |
M. V. Gashnikov, “Statistical encoding for image compression based on hierarchical grid interpolation”, Computer Optics, 41:6 (2017), 905–912 |
9. |
M. V. Gashnikov, “Minimizing the entropy of post-interpolation residuals for image compression based on hierarchical grid interpolation”, Computer Optics, 41:2 (2017), 266–275 |
10
|
|
2016 |
10. |
M. V. Gashnikov, N. I. Glumov, A. V. Kuznetsov, V. A. Mitekin, V. V. Myasnikov, V. V. Sergeev, “Hyperspectral remote sensing data compression and protection”, Computer Optics, 40:5 (2016), 689–712 |
9
|
11. |
M. V. Gashnikov, N. I. Glumov, “Onboard processing of hyperspectral data in the remote sensing systems based on hierarchical compression”, Computer Optics, 40:4 (2016), 543–551 |
17
|
12. |
M. V. Gashnikov, “Parameterization of the nonlinear Greham predictor for digital image compression”, Computer Optics, 40:2 (2016), 225–231 |
2
|
|
2014 |
13. |
M. V. Gashnikov, N. I. Glumov, “Hierarchical compression for hyperspectral image storage”, Computer Optics, 38:3 (2014), 482–488 |
14. |
M. V. Gashnikov, N. I. Glumov, “Hierarchical grid interpolation for hyperspectral image compression”, Computer Optics, 38:1 (2014), 87–93 |
|
2010 |
15. |
M. V. Gashnikov, N. I. Glumov, V. V. Sergeev, “A hierarchical compression method for space images”, Avtomat. i Telemekh., 2010, no. 3, 147–161 ; Autom. Remote Control, 71:3 (2010), 501–513 |
10
|
|
2004 |
16. |
A. Yu. Bavrina, M. V. Gashnikov, V. V. Sergeev, “Метод иерархической компрессии видеоданных”, Matem. Mod. Kraev. Zadachi, 2 (2004), 26–29 |
|
Organisations |
|
|
|
|