AUTOMATIC ALGORITHMS OF AGRICULTURAL FIELDS SEGMENTATION ON AERIAL IMAGES FOR REMOTE SENSING AND ENVIRONMENTAL MONITORING
Abstract
The purpose of this paper is to present functions for interactive segmentation of agricultural fields on aerial images which were implemented in a specialized software package for remote sensing and environmental monitoring. The functions are based on GrabCut, Watershed, LiveWire and SLIC algorithms.
About the Authors
V. A. Kovalev
Объединенный институт проблем информатики НАН Беларуси
Belarus
Belarus
A. A. Kalinovsky
Объединенный институт проблем информатики НАН Беларуси
Belarus
Belarus
A. A. Dmitruk
Объединенный институт проблем информатики НАН Беларуси
Belarus
Belarus
V. A. Liauchuk
Объединенный институт проблем информатики НАН Беларуси
Belarus
Belarus
References
1. Александрович Я.М., Глушень М.Т. // Экономический бюллетень Научно-исследовательского экономического института Министерства экономики Республики Беларусь. 2015. № 4. С. 32-49.
2. Головатый С.Е., Савченко С.В., Позняк С.С. и др. Мониторинг и использование земельных ресурсов: учебное пособие. Минск, 2009.
3. Open Source Computer Vision Library. [Electronic resource]. - Mode of access: http://opencv.org. - Date of access: 09.09.2015.
4. Rother C., Kolmogorov V., Blake A. // ACM Transactions on Graphics (TOG). 2004. № 3. P. 309-314.
5. Boykov Y.Y., Jolly M.P. // Proc. of the 8-th IEEE International Conference ICCV. 2001. № 1. P. 105-112.
6. Osma-Ruiz V., Godino-Llorente J., Sáenz-Lechón N. et al. // Pattern Recognition. 2007. № 3. P. 1078-1090.
7. Barrett W.A., Mortensen E.N. // Medical image analysis. 1997. № 4. P. 331-341.
8. Fulkerson B., Vedaldi A., Soatto S. // Proc. of the 12-th Int. Conf. on Computer Vision. 2009. Kyoto, Japan. P. 670-677.
9. Levinshtein A., Sminchisescu C., Dickinson S. // Proc. of the 12-th Int. Conf. on Computer Vision. 2009. Kyoto, Japan. P. 117-134.
10. Li X., Guo Y. // Proc. of the British Machine Vision Conference. 2012. P. 1-11.
11. Gao Q., Asthana A., Tong T. et al. // Proc. of SPIE 9034, Medical Imaging 2014: Image Processing. 2014. Vol. 9034. P. 903407-903407-6.
12. Micusik B., Kosecka J. // IEEE Workshop on Video-Oriented Object and Event Classification (VOEC). Japan. 2009. P. 625-632.
13. He X., Zemel R., Ray D. // Proc. of the 9-th European Conference on Computer Vision. Austria. 2006. P. 338-351.
14. Achanta R., Shaji A., Smith K. et al. SLIC Superpixels Compared to State-of-the-art Superpixel Methods // IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. Vol. 34(11). P. 2274-2282.
Review
For citations:
Kovalev V.A., Kalinovsky A.A., Dmitruk A.A., Liauchuk V.A. AUTOMATIC ALGORITHMS OF AGRICULTURAL FIELDS SEGMENTATION ON AERIAL IMAGES FOR REMOTE SENSING AND ENVIRONMENTAL MONITORING. Doklady BGUIR. 2015;(7):71-76. (In Russ.)
Views: 1420
Email this article 