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.

Keywords

• космические снимки
• дистанционное зондирование земли
• сегментация изображений
• автоматизация