IDENTIFICATION OF PLANT TYPES BY RGB IMAGE RECEIVED FROM UAV BY TEXTURAL ANALYSIS
Section: DIGITAL EARTH AND BIG DATA
Proceedings: GRAPHICON'2019 PROCEEDINGS. VOLUME 2
Authors:
1.
Tomskiy gosudarstvennyy universitet sistem upravleniya i radioelektroniki
Russian Federation
Russian Federation
2.
Tomsk University of Control Systems and Radio Electronics (TUSUR)
Russian Federation
Russian Federation
Type:
Сonference article
Published:
20.11.2019
Subject area:
GRNTI 20.01 Общие вопросы информатики
GRNTI 50.07 Теоретические основы вычислительной техники
BBK 3297 Вычислительная техника
GRNTI 50.07 Теоретические основы вычислительной техники
BBK 3297 Вычислительная техника
Language:
English
Keywords:
UAV, computer graphics, textural analysis, plant types
Abstract (English):
To date, flying unmanned aerial vehicles (UAVs), with digital cameras on board, have become commonplace. The resulting images are collected in orthophotomaps and more used for visual analysis. A numerical analysis of the content of images is still poorly developed. One of the areas of analysis is the allocation of vegetation in the image and the determination of types. There are many ways to highlight plants in an image, such as texture, color, or index analysis. In this paper, we set the task of processing the image obtained from the UAV, isolating the vegetation in the image, selecting the desired plants from the set, and estimating the area occupied by this plant in the image based on texture analysis.
To date, flying unmanned aerial vehicles (UAVs), with digital cameras on board, have become commonplace. The resulting images are collected in orthophotomaps and more used for visual analysis. A numerical analysis of the content of images is still poorly developed. One of the areas of analysis is the allocation of vegetation in the image and the determination of types. There are many ways to highlight plants in an image, such as texture, color, or index analysis. In this paper, we set the task of processing the image obtained from the UAV, isolating the vegetation in the image, selecting the desired plants from the set, and estimating the area occupied by this plant in the image based on texture analysis.
Keywords:
UAV, computer graphics, textural analysis, plant types
UAV, computer graphics, textural analysis, plant types
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