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authFullName_s : M. Uss

Potential accuracy of translation estimation between radar and optical images

M. Uss , B. Vozel , V. Lukin , K Chehdi
Image and Signal Processing for Remote Sensing XXI, 96430W (October 15, 2015), 2015, Toulouse, France. pp.96430W--96430W--12, ⟨10.1117/12.2194071⟩
Conference papers hal-01300969v1

Performance analysis of segmentation-based method for blind evaluation of additive noise in images

V. Lukin , S. Abramov , B. Vozel , M. Uss , K. Chehdi et al.
International Kharkov Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW’10, Jun 2010, Kharkov, Ukraine. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5546162&isnumber=5545954, ⟨10.1109/MSMW.2010.5546162⟩
Conference papers hal-01127713v1

The minimum number of scanning windows required for effective maximum likelihood estimation of image texture parameters and additive noise variance

M. Uss , B. Vozel , K. Chehdi , V. Lukin , S. Abramov et al.
International Kharkov Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW’10,, Jun 2010, Kharkov, Ukraine. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5546161&isnumber=5545954, ⟨10.1109/MSMW.2010.5546161⟩
Conference papers hal-01127715v1

Statistical power of intensity- and feature-based similarity measures for registration of multimodal remote sensing images

M. Uss , B. Vozel , V. Lukin , K. Chehdi
Image and Signal Processing for Remote Sensing XXII, Sep 2016, Edinburgh, United Kingdom. ⟨10.1117/12.2240895⟩
Conference papers hal-01484530v1

NoiseNet Signal-Dependent Noise Variance Estimation with Convolutional Neural Network

M. Uss , B. Vozel , V. Lukin , K. Chehdi
19th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2018, Sep 2018, Poitiers, France. pp.414-425, ⟨10.1007/978-3-030-01449-0_35⟩
Conference papers hal-01904633v1

Comparison of learning-based and maximum-likelihood estimators of image noise variance for real-life and synthetic anisotropic textures

M. Uss , B. Vozel , V. Lukin , K. Chehdi
Image and Signal Processing for Remote Sensing XXVI 2020, Sep 2020, Edinburgh, United Kingdom. pp.1153303, ⟨10.1117/12.2573934⟩
Conference papers hal-03003494v1

Blind Estimation Of Signal-Dependent Noise Parameters For Color Image Database

S. Abramov , V. Abramova , M. Uss , V. Lukin , Benoît Vozel et al.
4th European Workshop on Visual Information Processing (EUVIP), Jun 2013, Paris, France. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6623956&isnumber=6623946
Conference papers hal-01111097v1

Blind estimation of blur in hyperspectral images

M. Zhang , B. Vozel , K. Chehdi , M. Uss , S. Abramov et al.
Titre conference, 2017, Warsaw, Poland. ⟨10.1117/12.2278004⟩
Conference papers hal-01713366v1

Maximum likelihood estimation of spatially correlated signal-dependent noise in hyperspectral images

M. Uss , Benoit Vozel , V. V. Lukin , Kacem Chehdi
Optical Engineering, 2012, 51 (11), pp.111712. ⟨10.1117/1.OE.51.11.1117120.959⟩
Journal articles hal-00802995v1

Automation of Processing Multichannel Remote Sensing Images Based on Performance Prediction

V. Lukin , S. Abramov , M. Uss , O. Rubel , N. Kussul et al.
2020 IEEE Ukrainian Microwave Week, UkrMW 2020, Sep 2020, Kharkiv, Ukraine. pp.139-144, ⟨10.1109/UkrMW49653.2020.9252654⟩
Conference papers hal-03103348v1
Image document

Accuracy assessment of blind and semi-blind restoration methods for hyperspectral images

M. Zhang , B. Vozel , K. Chehdi , M. Uss , S. Abramov et al.
Image and Signal Processing for Remote Sensing XXII, Sep 2016, Edinburgh, United Kingdom. ⟨10.1117/12.2240950⟩
Conference papers hal-01484534v1

Analysis of signal-dependent sensor noise on JPEG 2000-compressed sentinel-2 multi-spectral images

M. Uss , B. Vozel , V. Lukin , K. Chehdi
Image and Signal Processing for Remote Sensing XXIII 2017, Sep 2017, Warsaw, Poland. pp. 2278007, ⟨10.1117/12.2278007⟩
Conference papers hal-01713370v1