Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Dmitriy V. Fevralev"'
Autor:
Vladimir Katkovnik, Dmitriy V. Fevralev, Oleksiy Pogrebnyak, Karen Egiazarian, Alexander Totsky, Dmitriy Paliy, Jaakko Astola, Vladimir V. Lukin
Publikováno v:
Circuits, Systems & Signal Processing. 25:315-342
The problem of reconstructing a signal waveform when the observed realizations are corrupted by intensive noise and random shifts is considered in this paper. Several ways of performing bispectrum filtering are proposed and investigated. First, it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b75738a305ab900cda9c40176a1db140
https://doi.org/10.1007/s00034-004-1028-9
https://doi.org/10.1007/s00034-004-1028-9
Autor:
Vladimir V. Lukin, Andrey A. Kurekin, Dmitriy V. Fevralev, Nikolay N. Ponomarenko, Benoit Vozel, Kacem Chehdi
Publikováno v:
Remote Sensing-Advanced Techniques and Platforms
Boris Escalante-Ramirez. Remote Sensing-Advanced Techniques and Platforms, InTech, pp.75-98, 2012, 978-953-51-0652-4. ⟨10.5772/36046⟩
Boris Escalante-Ramirez. Remote Sensing-Advanced Techniques and Platforms, InTech, pp.75-98, 2012, 978-953-51-0652-4. ⟨10.5772/36046⟩
Multichannel remote sensing (RS) has gained popularity and has been successfully applied for solving numerous practical tasks as forestry, agriculture, hydrology, meteorology, ecology, urban area and pollution control, etc. (Chang, 2007). Using the t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85ef70e8a87304fecd1057615e2c2348
http://www.intechopen.com/articles/show/title/classification-of-pre-filtered-multichanel-rs-images
http://www.intechopen.com/articles/show/title/classification-of-pre-filtered-multichanel-rs-images
Autor:
Vladimir V. Lukin, Benoit Vozel, Kacem Chehdi, Sergey K. Abramov, Dmitriy V. Fevralev, Karen Egiazarian, Nikolay N. Ponomarenko, Jaakko Astola
Publikováno v:
Proceedings of SPIE
Conference on Image and Signal Processing for Remote Sensing XVII
Conference on Image and Signal Processing for Remote Sensing XVII, Sep 2011, Prague, Czech Republic. pp.81800X, ⟨10.1117/12.897730⟩
Conference on Image and Signal Processing for Remote Sensing XVII
Conference on Image and Signal Processing for Remote Sensing XVII, Sep 2011, Prague, Czech Republic. pp.81800X, ⟨10.1117/12.897730⟩
International audience; Estimation of noise characteristics is used in various image processing tasks such as edge detection, filtering, reconstruction, compression and segmentation, etc. It is very desirable to have as accurate as possible estimated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34a1c1a5519c4fecbcf45933dd260c84
https://doi.org/10.1117/12.897730
https://doi.org/10.1117/12.897730
Publikováno v:
2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM.
This paper introduces a new approach for SAR image processing by combining a Level Set method and DCT or Haar based filtering with small-sized object (target) preservation. The approach exploits the Level Set method ability to detect small-sized targ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::681797742ddc150030ffd401c9fe5641
https://doi.org/10.1109/mrrs.2011.6053634
https://doi.org/10.1109/mrrs.2011.6053634
Autor:
Jaakko Astola, Karen Egiazarian, Vladimir V. Lukin, Nikolay N. Ponomarenko, Dmitriy V. Fevralev, Sergey K. Abramov
Publikováno v:
Image Processing: Algorithms and Systems
Images formed by different systems are often noisy which makes filtering a typical operation of image pre-processing. In many research papers, filter performance is analyzed for a limited number of standard test images and noise variances. Here we us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::516de76ba06725b0563fe7a5dadbad88
https://doi.org/10.1117/12.871944
https://doi.org/10.1117/12.871944
Autor:
Dmitriy V. Fevralev, Vladimir V. Lukin, Nikolay N. Ponomarenko, Andrey A. Kurekin, Lik-Kwan Shark, Benoit Vozel, Kacem Chehdi
Publikováno v:
Proceedings of SPIE-The International Society for Optical Engineering
Conference on Image and Signal Processing for Remote Sensing XVI
Conference on Image and Signal Processing for Remote Sensing XVI, Sep 2010, Toulouse, France. pp.78300M, ⟨10.1117/12.864215⟩
Conference on Image and Signal Processing for Remote Sensing XVI
Conference on Image and Signal Processing for Remote Sensing XVI, Sep 2010, Toulouse, France. pp.78300M, ⟨10.1117/12.864215⟩
International audience; A typical tendency in modern remote sensing (RS) is to apply multichannel systems. Images formed by them are in more or less degree noisy. Thus, their pre-filtering can be used for different purposes, in particular, to improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f855a1b9f4266554521b9c59c6003d97
https://hal.archives-ouvertes.fr/hal-00947038
https://hal.archives-ouvertes.fr/hal-00947038
Publikováno v:
2010 International Conference on Mathematical Methods in Electromagnetic Theory.
Synthetic-aperture radar (SAR) imaging has become an efficient tool for obtaining and retrieving useful information about surfaces of Earth and other planets. However, the formed images suffer from speckle noise, especially if single-look observation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86adc31a37edef3cc51013a69c89359c
https://doi.org/10.1109/mmet.2010.5611418
https://doi.org/10.1109/mmet.2010.5611418
Autor:
Jaakko Astola, Oleksiy Pogrebnyak, Nikolay N. Ponomarenko, Dmitriy V. Fevralev, Karen Egiazarian, Vladimir V. Lukin
Publikováno v:
Image Processing: Algorithms and Systems
In various practical situations of remote sensing image processing it is assumed that noise is nonstationary and no a priory information on noise dependence on local mean or about local properties of noise statistics is available. It is shown that in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebafb4f9276d7e20bc12a622bbbc51d4
https://doi.org/10.1117/12.805298
https://doi.org/10.1117/12.805298
Autor:
Alexander V. Kildishev, Dmitriy V. Fevralev, Vladimir V. Lukin, Aleksandr Zelensky, Oleksiy Pogrebnyak
Publikováno v:
2007 International Kharkiv Symposium Physics and Engrg. of Millimeter and Sub-Millimeter Waves (MSMW).
A DCT based locally adaptive filter has been proposed and applied for processing of real and imaginary components of bispectrum for solving a problem of unknown signal shape (waveform) reconstruction. The bispectrum is a 2-D complex function and in i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7beac3d2d63c74bfcac1180b9843f2d
https://doi.org/10.1109/msmw.2007.4294700
https://doi.org/10.1109/msmw.2007.4294700
Autor:
Vladimir V. Lukin, Jaakko Astola, Sergey K. Abramov, Nikolay N. Ponomarenko, Karen Egiazarian, Dmitriy V. Fevralev, Oleksiy Pogrebnyak
Publikováno v:
Journal of Electronic Imaging. 19:023007
In many image-processing applications, observed images are contaminated by a nonstationary noise and no a priori information on noise dependence on local mean or about local properties of noise statistics is available. In order to remove such a noise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e5fe04809524f265fd392a19209deb0
https://doi.org/10.1117/1.3421973
https://doi.org/10.1117/1.3421973