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
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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.)
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