scholarly journals Identification of Plant Types by RGB Image Received from UAV by Textural Analysis

2019 ◽  
Author(s):  
Михаил Катаев ◽  
Mikhail Kataev ◽  
Мария Дадонова ◽  
Maria Dadonova
Keyword(s):  
Numerical Analysis ◽  
Unmanned Aerial Vehicles ◽  
Texture Analysis ◽  
Visual Analysis ◽  
Textural Analysis ◽  
Digital Cameras ◽  
Index Analysis ◽  
Aerial Vehicles ◽  
Rgb Image

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.

Method of Vegetation Detection Using RGB Images Made by Unmanned Aerial Vehicles on the Basis of Colour and Texture Analysis

2019 ◽  
pp. 55-62
Author(s):  
Michael Y. Kataev ◽  
Maria M. Dadonova
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Texture Analysis ◽  
Vegetation Index ◽  
Vegetation Type ◽  
Digital Cameras ◽  
Vegetation Types ◽  
Aerial Vehicles ◽  
Rgb Images ◽  
Thematic Processing ◽  
Surface Vegetation

The article describes the capability of application of RGB?1 images made by digital cameras for detection of Earth surface (vegetation) types. A set of measures necessary to be taken for processing of the images made by unmanned aerial vehicles (UAV) in real-time is described. Application of analogue of vegetation index allows detecting vegetation on an RGB image, which increases the probability of correct detection of surface (vegetation) type. Methods of preliminary and thematic processing of images required for positive detection of surface types are considered. Texture analysis is applied for detection of vegetation type. The results of the processing of real images are provided.

Energy Analysis for a Twisting and Bending Coupled Piezoelectric Actuator for Miniature Unmanned Aerial Vehicles

2001 ◽  
Author(s):  
Seung-Keon Kwak ◽  
Gregory Washington
Keyword(s):  
Numerical Analysis ◽  
Unmanned Aerial Vehicles ◽  
Lead Zirconate Titanate ◽  
Piezoelectric Actuator ◽  
Energy Analysis ◽  
Middle Layer ◽  
Lead Zirconate ◽  
Aircraft Wing ◽  
Aerial Vehicles ◽  
Electrode Technique

Abstract In this research, we examine aircraft components based on their interaction with the system. This essentially asks the question is there enough energy available (without losses) in a candidate system to meet the energy required. The goal of this research is to highlight this design process with the design and construction of an active aircraft wing. A new twisting and bending coupled piezoelectric actuator based on the spatial aperture shading technique is introduced to build deformable wings. The shaped electrode twisting actuator consists of two layers of PZT-5H (lead zirconate titanate) and one middle layer of steel shim. The directionally shaped electrode technique is applied to achieve the both twisting and bending motions of the actuator. The comparison of an analytical model, a numerical analysis, and actual experimental results for the actuator are given.

A Method for Estimating the Area of Damaged Croplands and Woodlands with the Use of Unmanned Aerial Vehicles (Drones)

2017 ◽  
Author(s):  
Tomasz Podciborski ◽  
Jacek Kil
Keyword(s):  
Natural Disasters ◽  
Unmanned Aerial Vehicles ◽  
Spatial Information ◽  
Rapid Development ◽  
Spatial Development ◽  
Measurement Methods ◽  
Loss Assessment ◽  
Aerial Vehicles ◽  
Extent Of Damage

Growing social demand for access to spatial information spurs the rapid development of measurement methods and systems for registering the results of spatial evaluations and analyses (Kwietniewski 2008). Any assessment of spatial development is carried out on the basis of information obtained from specific sources (Kowalczyk 2007). The main objective of this study was to propose a method for assessing the extent of damage caused by natural disasters to croplands and woodlands with the use of unmanned aerial vehicles (drones). The main aim was achieved through detailed goals, including determination of the causes of natural disasters, description of the field inspection procedure and development of loss assessment principles. The proposed method was verified in selected research sites, and the resulting damage report detailing cropland losses is presented in the study.

scholarly journals Application of digital image processing for autofocusing system construction

2020 ◽  
Vol 30 (2) ◽  
pp. 69-79
Author(s):  
A. A. Makarenko ◽  
L. A. Vinokurov
Keyword(s):  
Image Processing ◽  
Numerical Analysis ◽  
Unmanned Aerial Vehicles ◽  
Digital Image Processing ◽  
Digital Image ◽  
Amplitude Spectrum ◽  
Two Dimensional ◽  
System Construction ◽  
Aerial Vehicles ◽  
Spatial Frequencies

The article states the method of autofocusing of the optoelectronic image, based on digital image processing. Some systems of autofocusing which can be used in optoelectronic equipment of unmanned aerial vehicles are considered. The method developed by authors and the program algorithm implementing it are similar to the rules of functioning of an element of the human visual system which executes an estimation of a spectrum of spatial frequencies for the realization of focusing of the image of objects which are of interest or danger and are on different distance from the observer. The best focusing is defined on the greatest width of a spectrum of spatial frequencies of the object. Such estimation allows focusing the necessary object on the observable image even in the absence of binocular vision. The method is based on the numerical analysis of a two-dimensional amplitude spectrum of the image. Results of operation of the stated method which confirm its efficiency are presented.

scholarly journals MEASUREMENT OF THE SPECTRAL REFLECTION COEFFICIENTS FOR SURFACES UNDER A MULTISPECTRAL AERIAL SURVEY BY DIGITAL CAMERA

2019 ◽  
Vol 8 ◽  
pp. 279-285
Author(s):  
Stanislav Arbuzov ◽  
Evgenij Gritskevich ◽  
Darja Michaylova ◽  
Anna Selezneva
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Digital Camera ◽  
Aerial Survey ◽  
Field Of View ◽  
Reflection Coefficients ◽  
Digital Cameras ◽  
Agricultural Lands ◽  
Instrument Making ◽  
Spectral Reflection ◽  
Aerial Vehicles

Monitoring of the environment with the help of unmanned aerial vehicles is currently one of the most developing branches of optoelectronic instrument-making. Digital cameras installed on these devices make it possible to survey the underlying surface in order to select the its features. The use of unmanned aerial vehicles for the control of agricultural lands is a very perspective case of such monitoring. The technique of measuring the spectral reflection coefficients of surfaces is developed for identification of the vegetation state observed in the field of view of multispectral digital camera. The method allows determining the spectral reflectance of the calibration surfaces using the reference ones and after that to find the parameters of working surfaces using the calibration ones. The obtained results are applied under the analysis and processing of images obtained in the course of the unmanned aviation system that monitors agricultural lands.

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