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Scientific paper ID 1033 : 2014/3
SELECTED METHODS FOR CLASSIFICATION AND FUSION OF REMOTE SENSING IMAGES OF THE ROAD INFRASTRUCTURE
Valentina Hristova The remote sensing of the road infrastructure is using mathematical methods for digital image processing. These methods can be considered as separate components that united would constitute a self-contained system. In this publication under consideration are taken some abilities for structuring such a system by selecting processing algorithms from existing ones in terms to combine them so the system properties could exceed the performance of existing systems for image processing in remote sensing of road infrastructure.
дистанционно изследване метод за класификация на изображения метод за съвместяване на изображения текстурен кубremote sensing image classification image fusion texture cubeValentina Hristova BIBLIOGRAPHY [1] A. K. Jain, R. P. Duin, and J. Mao. Statistical pattern recognition: A review. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22:4-37, 2000. [2] L. A. Oddo, P. Doucette, and P. Agouris. Automated road extraction via the hybridization of self-organization and model based techniques. In Proceedings of the 29th Applied Imagery Pattern Recognition Workshop, 2000. [3] J. B. Mena and J. A. Malpica. An automatic method for road extraction in rural and semi-urban areas starting from high resolution satellite imagery. Pattern Recognition Letters, 26:1201-20, 2005. [4] L. A. Klein. Sensor and Data Fusion Concepts and Applications. The International Society for Optical Engineering press, 1993. [5] Shafer, Glenn, A Mathematical Theory of Evidence, Princeton University Press, 1976. [6] Dempster, A. P. (1967). "Upper and lower probabilities induced by a multivalued mapping". The Annals of Mathematical Statistics38 (2): 325–339. [7] Fine, Terrence L. (1977). "Review: Glenn Shafer, A mathematical theory of evidence". Bull. Amer. Math. Soc.83 (4): 667–672. |
