Рус

Л. Р. Бекирова (Азербайджанская государственная нефтяная академия, Баку) E-mail: asadzade@rambler 

Eng

L. R. Bekirova (Azerbaijan State Oil Academy, Baku) E-mail: asadzade@rambler 

Рус

1. Kaeakami R., Wright J., Tai Y.-W. et al. High-resolution Huperspectral Imaging via Matrix Factorization // Com-puter Vision and Pattern Recognition (CVPR). Conference on 20 – 25 June 2011. IEEE. 2011. P. 2329 – 2336. (Conference Publica-tions, Univ. of Tokyo, Tokyo, Japan).
2. Wang B., Wang X., Chen Z. Spatial Entropy Based Mu-tual Information in Hyperspectral Band Selection for Supervised // International Journal of Numerical Analysis and Modeling. 2012. V. 9. N 2. P. 181 – 192.
3. Moan S. L., Mansouri A., Hardeberg J. Y., Voisin Y. Saliency in Spectral Images // Dimensionality Reduction and Saliency for Spectral Image Visualization. École doctorale SPIM / Université de Bourgogne/UFR ST BP 47870 F – 21078. Dijon, 2012. Р. 79 – 100.
4. Collin A., Planes S. Enhancing Coral Health Detection Using Spectral Diversity Indices from World View-2 Imagery and Machine Learners // Remote Sen. 2012. N 4. Р. 3244 – 3264; doi:10.3390/rs4103244.
5. Moan S. L., Mansouri A., Hardeberg J. Y., Voisin Y. Saliency-based Band Selection for Spectral Image Visual-ization / 19th Color and Imaging Conference Final Program and Proceedings. 2011. Р. 363 – 368.
6. Wang H., Angelopoulou E. Sensor Band Selection for Multispectral Imaging via Average Normalized Information, Pro-ceedings of 3rd International Workshop on Spectral Imaging, in conjunction with ECCV. 2006. Р. 114 – 123.
7. Demir B., Celebi A. A Low-complexity Approach for Color Display of Hyperspectral Remote-sensing Images Using one-bit Transform Based Band Selection // Geoscience and Remote Sensing. IEEE Transactions. 2009. V. 47. N 1. Р. 97 – 105.
8. Flierl M., Girod B. Multihypothesis Motion Estimation for Video Coding. URL: аphrodite.s3.kth.se/mflierl/publications/flierl:01-DCC.pdf
9. Дерюгин Н. Н. Спектр мощности и функция корреля-ции телевизионного сигнала // Электросвязь. 1957. № 7. С. 41 – 49.
10. Цифровое кодирование телевизионных изображений / ред. И. И. Цуккерман. М.: Радио и связь, 1981. 240 с.
11. Темников Ф. Е., Афонин В. А., Дмитриев В. И. Тео-ретические основы информационной техники. М.: Энергия, 1971. 424 с.

Eng

1. Kaeakami R., Wright J., Tai Y.-W. et al. (2011). High-resolution Huperspectral Imaging via Matrix Factorization. Com-puter Vision and Pattern Recognition (CVPR). Conference on 20 – 25 June 2011. IEEE 2011, pp. 2329 – 2336. (Conference Publica-tions, Univ. of Tokyo, Tokyo, Japan).
2. Wang B., Wang X., Chen Z. (2012). Spatial entropy based mutual information in hyperspectral band selection for supervised. International Journal of Numerical Analysis and Modeling, 9(2), pp. 181-192.
3. Moan S. L., Mansouri A., Hardeberg J. Y., Voisin Y. (2012). Saliency in Spectral Images. Dimensionality Reduction and Saliency for Spectral Image Visualization. École doctorale SPIM. Université de Bourgogne/UFR ST BP 47870 F – 21078. Dijon, pp. 79 – 100.
4. Collin A., Planes S. (2012). Enhancing coral health detec-tion using spectral diversity indices from world View-2 imagery and machine learners. Remote Sen., (4), pp. 3244-3264. doi:10.3390/rs4103244.
5. Moan S. L., Mansouri A., Hardeberg J. Y., Voisin Y. (2011). Saliency-based Band Selection for Spectral Image Visual-ization. 19th Color and Imaging Conference Final Program and Pro-ceedings, pp. 363 – 368.
6. Wang H., Angelopoulou E. (2006). Sensor Band Selection for Multispectral Imaging via Average Normalized Information. Proceedings of 3rd International Workshop on Spectral Imaging, in conjunction with ECCV, pp. 114 – 123.
7. Demir B., Celebi A. A (2009). A low-complexity approach for color display of hyperspectral remote-sensing images using one-bit transform based band selection. Geoscience and Remote Sensing. IEEE Transactions, 47(1), pp. 97-105.
8. Flierl M., Girod B. Multihypothesis Motion Estimation for Video Coding. Available at: http://аphrodite.s3.kth.se/mflierl/publications/flierl:01-DCC.pdf
9. Deriugin N. N. (1957). The power spectrum and the corre-lation function of a television signal. Elektrosviaz', (7), pp. 41-49.
10. Tsukkerman I. I. (1981). Digital encoding of TV images. Moscow: Radio i sviaz'.
11. Temnikov F. E., Afonin V. A., Dmitriev V. I. (1971). Theoretical bases of informative technique. Moscow: Energiia..

Рус

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