- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
[IEEE 2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA) - Concepcion, Chile (2018.10.17-2018.10.19)] 2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA) - Comparison of vegetation indices acquired from RGB and Multispectral sensors placed on UAV
摘要： This manuscript presents a comparison of Normalized Difference Vegetation Index (NDVI) obtained with multispectral cameras versus four indices obtained from RGB sensors for the identification of soil and vegetation in images captured with an unmanned aerial vehicle. This comparison was made using the NDVI as ground truth, obtaining 2 classes of data that would be compared later to the other indexes by counting the pixels corresponding to each class. In the case of the RGB indices, the average was defined as the center of the data and as the cut-off point of both classes. The results of this investigation indicated that it is possible to identify the same spatial patterns using RGB indices, where the TGI index shows the best behavior. However, despite the fact that the pixel count showed similar results, the visual inspection of the results indicated that the RGB indices presented errors when identifying the vegetation, especially in the zone of the row. This indicates that to delimit with precision the areas corresponding to vegetation and soil it is necessary to use more complex clustering techniques.
关键词： Image processing,Agricultural engineering,Unmanned aerial vehicles (UAV)
更新于2025-09-23 15:22:29
-
[IEEE 2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA) - Concepcion, Chile (2018.10.17-2018.10.19)] 2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA) - Using clustering algorithms to segment UAV-based RGB images
摘要： This article describes the implementation of two segmentation algorithms in combination with the Triangular Greenness Index (TGI) derived from images obtained from an unmanned aerial vehicle (UAV), with the objective of segmenting shadow, soil and vegetation data obtained from a commercial vineyard cv. Cabernet Sauvignon. The importance of this segmentation lies in the recent development in tools that allow remote monitoring of crops but that nevertheless still have unresolved methodological aspects. The precise differentiation of these classes would allow the development of more complex monitoring techniques based on multispectral and thermal sensors. The results of this investigation showed that both k-means and Clustering Large Applications (CLARA) allowed to differentiate three classes in the images corresponding to soil, shade and vegetation. However, CLARA showed a better performance when differentiating the layer corresponding to vegetation.
关键词： Image processing,Unmanned aerial vehicles,Agricultural engineering,Open source software
更新于2025-09-23 15:22:29
-
[IEEE 2018 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF) - Saint-Petersburg, Russia (2018.11.26-2018.11.30)] 2018 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF) - Electronic Methods to Protect Unmanned Aerial Vehicles from Seizing Control
摘要： the article deals with the issues of security in the transmission of control information over a wireless communication channel between an unmanned aerial vehicle and the control panel, as well as options for electronic methods of protection against external (unauthorized) interception of control of unmanned aerial vehicles.
关键词： wireless data transfer,remote control,control interception,wireless networks,unmanned aerial vehicles
更新于2025-09-23 15:22:29
-
[IEEE 2018 15th European Radar Conference (EuRAD) - Madrid, Spain (2018.9.26-2018.9.28)] 2018 15th European Radar Conference (EuRAD) - A UAV Airborne Passive Digital Radar for Aerial Surveillance
摘要： This paper presents a detailed overview of an experimental passive radar payload developed by ONERA the French Aerospace Lab., which improves the performances of VHF passive radar by using Unmanned Aerial Vehicle (UAV) as support of the receiver. This article highlights the passive radar design which is based on techniques inspired from modern digital receivers combining front-end digitizer and FPGA-based real time data signal processing.
关键词： aerial surveillance,front-end digitizer,passive detection,digital radar,unmanned aerial vehicles
更新于2025-09-23 15:21:21
-
[IEEE 2018 VII. Lighting Conference of the Visegrad Countries (Lumen V4) - Trebic, Czech Republic (2018.9.18-2018.9.20)] 2018 VII. Lighting Conference of the Visegrad Countries (Lumen V4) - The Measurement Method of Light Distribution Emitted from Sports Facilities Using Unmanned Aerial Vehicles
摘要： The dynamic development of cities is associated with a significant increase in the luminance of architectural buildings, advertisements or usable spaces. Objects that emit a significant amount of luminous flux to the environment are also various types of sports buildings, such as city stadiums, football pitches or tennis courts. The need to protect the environment determinates the need to reduce and prevent the effect of light pollution. The article analyzes the possibilities of using unmanned aerial vehicles to assess light pollution by measuring the distribution of luminous flux emitted by sports facilities. The method of light measurement based on a goniometric system using unmanned aerial vehicles was presented and their positioning in three-dimensional space was taken into account. A method for controlling the photometric probe and calibrating the measurement system has been proposed.
关键词： luminous flux,light pollution,Unmanned Aerial Vehicles
更新于2025-09-23 15:21:21
-
[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Aerial Infrared Thermography of a CdTe Utility-Scale PV Power Plant
摘要： Aerial Infrared Thermography (aIRT) is a fast and flexible inspection method to monitor and assess utility-scale photovoltaic (PV) power plants. The literature is abundant on aIRT for crystalline silicon (c-Si) modules, but very little investigation has been carried out and reported thin-film PV. As Cadmium Telluride (CdTe) is currently the leading thin-film technology, and a good performer in warm and sunny climates, this paper aims to investigate the application of aIRT on CdTe PV plants in Brazil. Results demonstrate that aIRT is a reliable, cost-effective and fast method to detect faults on CdTe modules in large-scale PV plants.
关键词： Fault Inspection,Unmanned Aerial Vehicles (UAV),Photovoltaic Power Plants,Aerial Infrared Thermography (aIRT),Thin-Film,Cadmium Telluride (CdTe)
更新于2025-09-23 15:21:01
-
[IEEE 2018 15th European Radar Conference (EuRAD) - Madrid, Spain (2018.9.26-2018.9.28)] 2018 15th European Radar Conference (EuRAD) - Lightweight Broadband Antennas for UAV based GPR Sensors
摘要： In this contribution two different types of broadband antennas namely a logarithmic-periodic dipole antenna (LPDA) and a transversal electromagnetic (TEM) horn antenna for ground penetrating synthetic aperture radar sensors are presented. These antennas are designed to be mounted on an unmanned aircraft vehicle (UAV). The antennas are evaluated in terms of their matching, radiation pattern pulse response and weight. Finally, an integration example of one of these antennas is shown on an UAV.
关键词： ultra wideband antennas,dispersion,unmanned aerial vehicles,Ground penetrating radar
更新于2025-09-23 15:21:01
-
A Computer Vision Line-Tracking Algorithm for Automatic UAV Photovoltaic Plants Monitoring Applications
摘要： In this paper, the authors propose an UAV-based automatic inspection method for photovoltaic plants analyzing and testing a vision-based guidance method developed to this purpose. The maintenance of PV plants represents a key aspect for the pro?tability in energy production and autonomous inspection of such systems is a promising technology especially for large utility-scale plants where manned techniques have signi?cant limitations in terms of time, cost and performance. In this light, an ad hoc ?ight control solution is investigated to exploit available UAV sensor data to enhance ?ight monitoring capability and correct GNSS position errors with respect to ?nal target needs. The proposed algorithm has been tested in a simulated environment with a software-in-the loop (SITL) approach to show its effectiveness and ?nal comparison with state of the art solutions.
关键词： PV plant monitoring,Unmanned Aerial Vehicles,image processing,?y-by-sensor,computer vision,automatic ?ight
更新于2025-09-23 15:19:57
-
Enhancement of Ecological Field Experimental Research by Means of UAV Multispectral Sensing
摘要： Although many climate research experiments are providing valuable data, long-term measurements are not always affordable. In the last decades, several facilities have secured long-term experiments, but few studies have incorporated spatial and scale effects. Most of them have been implemented in experimental agricultural fields but none for ecological studies. Scale effects can be assessed using remote sensing images from space or airborne platforms. Unmanned aerial vehicles (UAVs) are contributing to an increased spatial resolution, as well as becoming the intermediate scale between ground measurements and satellite/airborne image data. In this paper we assess the applicability of UAV-borne multispectral images to provide complementary experimental data collected at point scale (field sampling) in a long-term rain manipulation experiment located at the Kiskun Long-Term Socio-Ecological Research (LTSER) site named ExDRain to assess the effects on grassland vegetation. Two multispectral sensors were compared at different scales, the Parrot Sequoia camera on board a UAV and the portable Cropscan spectroradiometer. The NDVI values were used to assess the effect of plastic roofs and a proportional reduction effect was found for Sequoia-derived NDVI values. Acceptable and significant positive relationships were found between both sensors at different scales, being stronger at Cropscan measurement scale. Differences found at plot scale might be due to heterogeneous responses to treatments. Spatial variability analysis pointed out a more homogeneous response for plots submitted to severe and moderate drought. More investigation is needed to address the possible effect of species abundance on NDVI at plot scale contributing to a more consistent representation of ground measurements. The feasibility of carrying out systematic UAV flights coincident or close to ground campaigns will certainly reveal the consistency of the observed spatial patterns in the long run.
关键词： drought,NDVI,multiscale approach,field experiments,LTSER,Sequoia,unmanned aerial vehicles (UAVs)
更新于2025-09-19 17:15:36
-
[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - UAV Spectroscopy: Current Sensors, Processing Techniques and Theoretical Concepts for Data Interpretation
摘要： In the last ten years, UAV sensing systems have become a frequently used tool for quantitative remote sensing. Many research teams have started to build their own sensing systems based on newly available consumer grade software packages and increasing computing power. Additionally, camera manufacturers are now building costume made sensors for UAV sensing. This talk will give an introduction and overview and comparison on current sensor technologies, processing techniques and theoretical concepts for data interpretation in quantitative spectral remote sensing with UAVs. Additionally, some challenges are outlined and systematic differences to data from non-imaging spectroscopy measurements are explained.
关键词： unmanned aerial vehicles,2D imagers,Imaging spectroscopy
更新于2025-09-10 09:29:36