PhD Thesis:

Y. Tarabalka. Classification of Hyperspectral Data Using Spectral-Spatial Approaches. Ph.D. thesis, University of Iceland and Grenoble Institute of Technology, 2010. Manuscript (pdf). Presentation (pdf).

Papers in Referreed International Journals (18):

18. E. Maggiori, Y. Tarabalka, G. Charpiat and P. Alliez, " High-resolution aerial image labeling with convolutional neural networks," IEEE Trans. Geosc. Remote Sens., vol. 55, no. 12, Dec. 2017. (pdf)

17. E. Maggiori, G. Charpiat, Y. Tarabalka, and P. Alliez, " Recurrent Neural Networks to Correct Satellite Image Classification Maps," IEEE Trans. Geosc. Remote Sens., vol. 55, no. 9, Sep. 2017. (pdf)

16. E. Maggiori, Y. Tarabalka, G. Charpiat, and P. Alliez, "Convolutional neural networks for large-scale remote sensing image classification," IEEE Trans. Geosc. Remote Sens., vol. 55, no. 2, pp. 645-657, 2017. (pdf)

15. H. Aghighi, J. Trinder, S. Lim and Y. Tarabalka, "Fully spatially adaptive smoothing parameter estimation for Markov random field super-resolution mapping of remotely sensed images," International Journal of Remote Sensing, vol. 36, no. 11, pp. 2851-2879, 2015.

14. B. B. Damodaran, R. R. Nidamanuri and Y. Tarabalka, "Dynamic Ensemble Selection Approach for Hyperspectral Image Classification with Joint Spectral and Spatial Information," IEEE JSTARS, 2015.

13. Y. Tarabalka, G. Charpiat, L. Brucker and B. H. Menze, "Spatio-temporal video segmentation with shape growth or shrinkage constraint," IEEE Trans. on Image Processing, vol. 23, no. 9, p. 3829-3840, 2014. (pdf)

12. H. Aghighi, J. Trinder, Y. Tarabalka, S. Lim, "Dynamic Block-Based Parameter Estimation for MRF Classification of High-Resolution Images," IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 10, p. 1687-1691, 2014.(pdf)

11. M. Fauvel, Y. Tarabalka, J. A. Benediktsson, J. Chanussot, and J. C. Tilton, "Advances in spectral-spatial classification of hyperspectral images," Proceedings of the IEEE, vol. 101, no. 3, pp. 652-675, March 2013.(pdf)

10. J. C. Tilton, Y. Tarabalka, P. M. Montesano, and E. Gofman, "Best merge region growing with integrated region object classification," IEEE Trans. on Geoscience and Remote Sensing, vol. 50, no. 11, pp. 4454-4467, Nov. 2012.(pdf)

9. K. Bernard, Y. Tarabalka, J. Angulo, J. Chanussot, and J. A. Benediktsson, "Spectral-spatial classification of hyperspectral data based on a stochastic minimum spanning forest approach," IEEE Trans. on Image Processing, vol. 21, no. 4, pp. 2008-2021, April 2012.(pdf)

8. Y. Tarabalka, J. C. Tilton, J. A. Benediktsson, and J. Chanussot, "A marker-based approach for the automated selection of a single segmentation from a hierarchical set of image segmentations," IEEE JSTARS, vol. 5, no. 1, pp.262-272, Feb. 2012.(pdf)

7. Y. Tarabalka, J. A. Benediktsson, J. Chanussot, and J. C. Tilton, "Multiple spectral-spatial classification approach for hyperspectral data," IEEE Trans. on Geoscience and Remote Sensing, vol. 48, no. 11, pp. 4122-4132, Nov. 2010.(pdf)

6. Y. Tarabalka, M. Fauvel, J. Chanussot, J. A. Benediktsson, "SVM andMRF-based method for accurate classification of hyperspectral images," IEEE Geoscience and Remote Sensing Letters, vol. 7, no. 4, pp. 736-740, Oct. 2010.(pdf)

5. Y. Tarabalka, J. Chanussot, and J. A. Benediktsson, "Segmentation and classification of hyperspectral images using Minimum Spanning Forest grown from automatically selected markers," IEEE Trans. on Systems, Man, and Cybernetics, Part B: Cybernetics, 2010, DOI 10.1109/TSMCB.2009.2037132.(pdf)

4. Y. Tarabalka, J. Chanussot, and J. A. Benediktsson, "Segmentation and classification of hyperspectral images using watershed transformation," Pattern Recognition, vol. 43, no. 7, pp. 2367-2379, July 2010.(pdf)

3. P. Badin, Y. Tarabalka, F. Elisei, G. Bailly, "Can you “read tongue movements”? Evaluation of the contribution of tongue display to speech understanding," Speech Communication, no. 52, pp. 493-503, 2010.(pdf)

2. Y. Tarabalka, J. A. Benediktsson, and J. Chanussot, "Spectral-spatial classification of hyperspectral imagery based on partitional clustering techniques," IEEE Trans. Geos. and Remote Sens., vol. 47, no. 8, pp. 2973–2987, Aug. 2009.(pdf)

1. Y. Tarabalka, T. V. Haavardsholm, I. Kåsen, and T. Skauli, "Real-time anomaly detection in hyperspectral images using multivariate normal mixture models and GPU processing," Journal of Real-Time Image Processing, vol. 4, no. 3, Aug. 2009, pp. 287-300.(pdf)

Papers in National Journals (2):

2. P. Badin, F. Elisei, G. Bailly, C. Savariaux, A. Serrurier, and Y. Tarabalka, "Virtual audiovisual talking heads: articulatory data and models - applications," Revue de Laryngologie Otologie Rhinologie, vol. 128, no. 5, pp. 289-295, 2007 (in French).(pdf)

1. Y. Tarabalka, M. Fryz, "Internet-traffic analysis by using non-linear transformations," Measuring and computer techniques in the technological procedures, Khmelnyckyy: Edit. of the Technological University of Podillia, 2006 (in Ukrainian).

Book Chapters (3):

3. E. Maggiori, A. Plaza and Y. Tarabalka, "Models for hyperspectral image analysis: from unmixing to object-based classification," Mathematical Models for Remote Sensing Image Processing (edit. by G. Moser and J. Zerubia), Springer, 2017.

2. J. Tilton, S. Aksoy and Y. Tarabalka, "Image segmentation algorithms for land categorization," Remote Sensing Handbook (edited by P. S. Thenkabail), Taylor and Francis, 2015.

1. Y. Tarabalka, J. Chanussot, and J. A. Benediktsson, "Spectral-spatial classification of hyperspectral images using segmentation-derived adaptive neighborhoods," Multivariate Image Processing (edited by C. Collet, J. Chanussot, and K. Chendi), John Wiley & Sons, 2009, pp. 341-374.

International Conference Papers (43):

43. A. Zampieri, G. Charpiat, N. Girard and Y. Tarabalka, "Multimodal image alignment through a multiscale chain of neural networks with application to remote sensing," ECCV, Munich, Germany, 2018.

42. L. Matteo, Y. Tarabalka, I. Manighetti, J.-M. Gaucel and S. Mathieu, "Digital surface model generation from multiple optical high-resolution satellite images," SPIE Remote Sensing, Berlin, Germany, 2018.

41. B. Huang, K. Lu, N. Audebert, A. Khalel, Y. Tarabalka, J. Malof, A. Boulch, B. Le Saux, L. Collins, K. Bradbury, S. Lefèvre and M. El-Saban, "Large-scale semantic classification: outcome of the first year of Inria aerial image labeling benchmark," IGARSS'18, Valencia, Spain, 2018.

40. N. Girard and Y. Tarabalka, "End-to-End Learning of Polygons for Remote Sensing Image Classification," IGARSS'18, Valencia, Spain, 2018.

39. O. Tasar, E. Maggiori, P. Alliez and Y. Tarabalka, "Polygonization of binary classification maps using mesh approximation with right angle regularity," IGARSS'18, Valencia, Spain, 2018.

38. E. Maggiori, Y. Tarabalka, G. Charpiat and P. Alliez, "Polygonization of remote sensing classification maps by mesh approximation," ICIP'17, Beijing, China, 2017.

37. E. Maggiori, Y. Tarabalka, G. Charpiat and P. Alliez, "High-resolution image classification with convolutional networks," IGARSS'17, Fort Worth, TX, USA, 2017.

36. E. Maggiori, Y. Tarabalka, G. Charpiat and P. Alliez, "Can semantic labeling methods generalize to any city? The Inria Aerial Image Labeling Benchmark," IGARSS'17, Fort Worth, TX, USA, 2017.

34. E. Maggiori, Y. Tarabalka, G. Charpiat and P. Alliez, "Fully convolutional neural networks for remote sensing image classification," IGARSS'16, Beijing, China, 2016.

33. E. Maggiori, Y. Tarabalka and G. Charpiat, "Optimizing partition trees for multi-object segmentation with shape prior," BMVC'2015, Swansea, UK, 2015.

32. S-G. Jeong, Y. Tarabalka and J. Zerubia, "Stochastic model for curvilinear structure reconstruction using morphological profiles," IEEE ICIP'15, Quebec City, Canada, 2015.

31. E. Maggiori, Y. Tarabalka and G. Charpiat, "Improved partition trees for multi-class segmentation of remote sensing images," IGARSS'15, Milan, Italy, 2015.

30. S-G. Jeong, Y. Tarabalka and J. Zerubia, "Marked point process model for curvilinear structures extraction," EMMCVPR'15, Hong Kong, 2015.

29. S-G. Jeong, Y. Tarabalka and J. Zerubia, "Marked point process model for facial wrinkle detection," IEEE ICIP'14, Paris, France, 2014.

28. Y. Tarabalka and A. Rana, "Graph-Cut-Based Model for Spectral-Spatial Classification of Hyperspectral Images," IGARSS'14, Quebec City, Canada, 2014.

27. H. Aghighi, J. Trinder, K. Wang, Y. Tarabalka and S. Lim, "Smoothing parameter estimation for Markov random field classification of non-Gaussian distribution image," ISPRS TC VII Symposium, Istanbul, Turkey, 2014.

26. Y. Tarabalka, G. Charpiat, L. Brucker and B. H. Menze, "Enforcing monotonous shape growth or shrinkage in video segmentation," BMVC'13, Bristol, UK, 2013.

25. C. Price, Y. Tarabalka, L. Brucker, "Graph-Based Method for Multitemporal Segmentation of Sea Ice Floes from Satellite Data," Latin American Remote Sensing Week, Santiago, Chile, 2013.

24. Y. Tarabalka and G. Charpiat, "A graph-cut-based method for spatio-temporal segmentation of fire from satellite observations," IGARSS'13, Melbourne, Australia, 2013.

23. Y. Tarabalka, "Overview of hierarchical models for hyperspectral image classification," UkrOBRAZ - Signal/Image Processing and Pattern Recognition Conference, Kyiv, Ukraine, 2012.

22. Y. Tarabalka, L. Brucker, A. Ivano and J. C. Tilton, "Shape-constrained segmentation approach for Arctic multiyear sea ice floe analysis," IGARSS'12, Munich, Germany, 2012.

21. Y. Tarabalka and J. Tilton, "Improved hierarchical optimization-based classication of hyperspectral images using shape analysis," IGARSS'12, Munich, Germany, 2012.

20. K. Bernard, Y. Tarabalka, J. Angulo, J. Chanussot and J. A. Benediktsson, "A stochastic minimum spanning forest approach for spectral-spatial classification of hyperspectral images," ICIP'11, Brussels, Belgium, 2011.

19. Y. Tarabalka and J. C. Tilton, "Spectral-spatial classification of hyperspectral images using hierarchical optimization," WHISPERS'11, Lisbon, Portugal, 2011.

18. Y. Tarabalka and J. C. Tilton, "Best merge region growing with integrated probabilistic classification for hyperspectral imagery," IGARSS'11, Vancouver, Canada, 2011.

17. Y. Tarabalka, J. C. Tilton, J. A. Benediktsson, and J. Chanussot, "Marker-based hierarchical segmentation and classification approach for hyperspectral imagery," ICASSP'11, Prague, Czech Republic, 2011.(pdf)

16. Y. Tarabalka, J. A. Benediktsson, J. Chanussot and J. C. Tilton, "A multiple classifier approach for spectral-spatial classification of hyperspectral data," in Proc. of IGARSS'10, Honolulu, Hawaii, USA, 2010.

15. J. Chanussot, J. A. Benediktsson, M. Fauvel, Y. Tarabalka, "Spectral-spatial analysis in hyperspectral remote sensing: from morphological profiles to classified segmentation," in Proc of SPIE, Vol. 7477, 2009.

14. Y. Tarabalka, J. Chanussot, J. A. Benediktsson, "Classification of hyperspectral images using automatic marker selection and Minimum Spanning Forest," in Proc. of IEEE WHISPERS'09, Grenoble, France, 2009.

13. Y. Tarabalka, J. Chanussot, J. A. Benediktsson, "Classification based marker selection for watershed transform of hyperspectral images," in Proc. of IGARSS ’09, Cape Town, South Africa, 2009.

12. G. Bailly, P. Badin, F. Elisei, O. Govokhina, C. Savariaux, and Y. Tarabalka, "Cloning speakers’ articulation, shape and appearance,” In Facial Analysis and Animation, Edinburgh, UK, 2009, pp. 2 p.

11. Y. Tarabalka, J. A. Benediktsson, and J. Chanussot, "Classification of hyperspectral data using Support Vector Machines and adaptive neighborhoods," in Proc. of the 6th EARSeL SIG IS workshop, Tel Aviv, Israel, 2009.

10. Y. Tarabalka, J. Chanussot, J. A. Benediktsson, J. Angulo, and M. Fauvel, "Segmentation and classification of hyperspectral data using watershed," in Proc. of IGARSS ’08, Boston, USA, 2008, pp. III–652 – III–655.(pdf)

9. Y. Tarabalka, T. V. Haavardsholm, I. Kåsen, and T. Skauli, "Parallel processing for normal mixture models of hyperspectral data using a graphics processor," in Proc. of IGARSS, Boston, USA, 2008, pp. II-990 –II-993.(pdf)

8. T. Skauli, I. Kåsen, T. Haavardsholm, A. Kavara, Y. Tarabalka, and Ø. Farsund, "Status of the norwegian hyperspectral technology demonstrator,” in Proc. of NATO SET-130 ”NATO Military sensing symposium", Orlando, Florida, USA, 2008, pp. F5–1–F5–6.(pdf)

7. P. Badin, F. Elisei, G. Bailly, and Y. Tarabalka, "An audiovisual talking head for augmented speech generation: models and animations based on a real speaker's articulatory data," In Vth Conference on Articulated Motion and Deformable Objects (F.J. Perales & R.B. Fisher, Eds.), Berlin , Heidelberg , Germany : Springer Verlag, 2008, pp. 132-143.

6. P. Badin, F. Elisei, L. Huang, Y. Tarabalka, and G. Bailly, "Vision of tongue in augmented speech: contribution to speech comprehension and visual tracking strategies," in Speech and Face-to-Face communication - A workshop / Summer School dedicated to the Memory of Christian Benoît, Grenoble, France, 2008, pp. 97.

5. P. Badin, Y. Tarabalka, F. Elisei, and G. Bailly, "Can you "read tongue movements"?," in Proc. of Interspeech 2008, Brisbane , Australia , 2008, pp. 2635-2638.(pdf)

4. Y. Tarabalka, P. Badin, F. Elisei, and G. Bailly, "Can you "read tongue movements"? Evaluation of the contribution of tongue display to speech understanding," in Proc. of ASSISTH’2007, Toulouse, France, 2007, pp. 187-193. (pdf)

3. Y. Tarabalka, "Information system for audio-visual speech reproduction and perception," in Proc. of the International technological conference "Information systems and technologies - IST-2007", Nizhnyy Novgorod, NSTU, Russia, 2007 (in Russian).

2. Y. Tarabalka, "Properties of the use of automatic speech recognition for the design of biotechnical systems," in Proc. of the International technological conference "Information systems and technologies - IST-2006", Nizhnyy Novgorod, NSTU, Russia, 2006, p. 152-153 (in Russian).

1. Y. Tarabalka, "Histogram analysis of the aggregate Internet-traffic by using nonlinear transformations," in Proc. of the International scientific conference for students and young researchers "Polit-2006", NAU, Kyiv, Ukraine, 2006 (in Ukrainian).

National Conference Papers (7):

7. Y. Tarabalka, P. Badin, F. Elisei, and G. Bailly, "Can one read tongue movements? Evaluation of the contribution of tongue display to speech understanding," In 2èmes Journées de Phonétique Clinique, Grenoble, France, 2007 (in French).

6. Y. Tarabalka, M. Fryz, "Analysis of the Internet-traffic distribution by using Pearson curves," in Proc. of the Russian technological conference, Nizhnyy Novgorod, Russia, NNIMC "Dialog", 2006, p. 7 (in Russian).

5. Y. Tarabalka, M. Fryz, "Internet-traffic analysis using non-linear transformations," in Proc. of the IX Scientific Conference of TSTU named after Ivan Pul’uj, Ternopil, Ukraine, 2005, p. 66 (in Ukrainian).

4. Y. Tarabalka, "Application package for digital signal processing," in Proc. of the VII Student Scientific Conference of TSTU named after Ivan Pul’uj, Ternopil, Ukraine, 2004, p. 106 (in Ukrainian).

3. N. Korovina, Y. Tarabalka, "Modelling of thermal processes in substances as a result of laser processing," in Proc. of the VII Student Scientific Conference of TSTU named after Ivan Pul’uj, Ternopil, Ukraine, 2004, p. 157 (in Ukrainian).

2. Y. Tarabalka, N. Korovina, "Simulation of Brownian motion and its analysis", in Proc. of the IV Ukrainian Student Scientific Conference, SevNTU, Sevastopol, Ukraine, 2003, pp. 53-54 (in Ukrainian).

1. Y. Tarabalka, N. Korovina, "Analysis of Brownian motion using simulation procedure," in Proc. of the VI Student Scientific Conference of TSTU named after Ivan Pul’uj, Ternopil, Ukraine, 2003, p. 69 (in Ukrainian).

Master Thesis :

Tarabalka, Y. (2007) . Evaluation perceptive de l'apport de la vision de la langue à la compréhension de la parole: Master Signal Image Parole Télécoms, Institut National Polytechnique de Grenoble.