| Lossy compression of hyperspectral images based on noise parameters estimation and variance stabilizing transform AN Zemliachenko, RA Kozhemiakin, ML Uss, SK Abramov, ... Journal of applied remote sensing 8 (1), 083571, 2014 | 45 | 2014 |
| Image quality prediction for DCT-based compression R Kozhemiakin, V Lukin, B Vozel 2017 14th International Conference The Experience of Designing and …, 2017 | 21 | 2017 |
| Prediction of Compression Ratio in Lossy Compression of Noisy Images A Zemliachenko, R Kozhemiakin, B Vozel, V Lukin 13th International Conference on Modern Problems of Radio Engineering …, 2016 | 19 | 2016 |
| Despeckling of multitemporal sentinel SAR images and its impact on agricultural area classification V Lukin, O Rubel, R Kozhemiakin, S Abramov, A Shelestov, M Lavreniuk, ... Recent Advances and Applications in Remote Sensing, 21-40, 2018 | 13 | 2018 |
| DCT-Based Color Image Denoising: Efficiency Analysis and Prediction V Lukin, S Abramov, R Kozhemiakin, A Rubel, M Uss, N Ponomarenko, ... Color Image and Video Enhancement, 55-80, 2015 | 12 | 2015 |
| Lossy compression of Landsat multispectral images R Kozhemiakin, S Abramov, V Lukin, B Djurović, I Djurović, B Vozel 2016 5th Mediterranean Conference on Embedded Computing (MECO), 104-107, 2016 | 9 | 2016 |
| Prediction of compression ratio for DCT-based coders with application to remote sensing images AN Zemliachenko, RA Kozhemiakin, SK Abramov, VV Lukin, B Vozel, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 8 | 2017 |
| Speckle reducing for Sentinel-1 SAR data S Abramov, O Rubel, V Lukin, R Kozhemiakin, N Kussul, A Shelestov, ... 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 8 | 2017 |
| An approach to prediction and providing of compression ratio for DCT based coder applied to remote sensing images RA Kozhemiakin, AN Zemliachenko, VV Lukin, SK Abramov, B Vozel Український журнал дистанційного зондування Землі, 22-29, 2016 | 7 | 2016 |
| Performance prediction for 3D filtering of multichannel images O Rubel, RA Kozhemiakin, SK Abramov, VV Lukin, B Vozel, K Chehdi Image and Signal Processing for Remote Sensing XXI 9643, 96430D, 2015 | 7 | 2015 |
| Peculiarities of 3D Compression of Noisy Multichannel Images R Kozhemiakin, S Abramov, V Lukin, I Djurović, B Vozel 4th Mediterranean Conference on Embedded Computing (MECO 2015), 331-334, 2015 | 7 | 2015 |
| A Method for Predicting Denoising Efficiency for Color Images OS Rubel, RA Kozhemiakin, SS Krivenko, VV Lukin, B Vozel, K Chehdi 35th International conference on electronics and nanotechnology (ELNANO …, 2015 | 7 | 2015 |
| An approach to prediction and providing of compression ratio for DCT-based coder applied to multichannel remote sensing data RA Kozhemiakin, VV Lukin, SK Abramov, M Simeunovic, B Djurovic, ... Telecommunications and Radio Engineering 75 (14), 2016 | 6 | 2016 |
| Output MSE and PSNR prediction in DCT-based lossy compression of remote sensing images RA Kozhemiakin, SK Abramov, VV Lukin, B Vozel, K Chehdi Image and Signal Processing for Remote Sensing XXIII 10427, 1042721, 2017 | 5 | 2017 |
| Output MSE and PSNR prediction in DCT-based lossy compression of remote sensing images B Vozel, R Kozhemiakin, S Abramov, V Lukin, K Chehdi Proc. SPIE. 10427, Image and Signal Processing for Remote Sensing XXIII, 11, 2017 | 5 | 2017 |
| Efficiency analysis for 3D filtering of multichannel images RA Kozhemiakin, O Rubel, SK Abramov, VV Lukin, B Vozel, K Chehdi Image and Signal Processing for Remote Sensing XXII 10004, 1000406, 2016 | 5 | 2016 |
| Optimal operation point in 3d DCT-based lossy compression of color and multichannel remote sensing images VV Lukin, SK Abramov, RA Kozhemiakin, B Vozel, B Djurovic, I Djurovi Telecommunications and Radio Engineering 74 (20), 1803-1821, 2015 | 5 | 2015 |
| Filtering of Dual-Polarization Radar Images Based on Discrete Cosine Transform RA Kozhemiakin, VV Lukin, B Vozel, K Chehdi 15th International Radar Symposium, 489-492, 2014 | 5 | 2014 |
| VST-based lossy compression of hyperspectral data for new generation sensors AN Zemliachenko, RA Kozhemiakin, ML Uss, SK Abramov, VV Lukin, ... Image and Signal Processing for Remote Sensing XIX 8892, 88920L, 2013 | 5 | 2013 |
| Compression ratio prediction for DCT-based coder R Kozhemiakin, S Abramov, V Lukin, B Djurović, I Djurović 2016 9th International Kharkiv Symposium on Physics and Engineering of …, 2016 | 4 | 2016 |
Vladimir Lukin, Владимир ЛукинNational Aerospace University, Kharkov, UkraineEmail verificata su ai.kharkov.com
