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https://www.readbyqxmd.com/read/29137194/integrated-display-and-simulation-for-automatic-dependent-surveillance-broadcast-and-traffic-collision-avoidance-system-data-fusion
#1
Yanran Wang, Gang Xiao, Zhouyun Dai
Automatic Dependent Surveillance-Broadcast (ADS-B) is the direction of airspace surveillance development. Research analyzing the benefits of Traffic Collision Avoidance System (TCAS) and ADS-B data fusion is almost absent. The paper proposes an ADS-B minimum system from ADS-B In and ADS-B Out. In ADS-B In, a fusion model with a variable sampling Variational Bayesian-Interacting Multiple Model (VSVB-IMM) algorithm is proposed for integrated display and an airspace traffic situation display is developed by using ADS-B information...
November 13, 2017: Sensors
https://www.readbyqxmd.com/read/29113104/super-resolution-of-plant-disease-images-for-the-acceleration-of-image-based-phenotyping-and-vigor-diagnosis-in-agriculture
#2
Kyosuke Yamamoto, Takashi Togami, Norio Yamaguchi
Unmanned aerial vehicles (UAVs or drones) are a very promising branch of technology, and they have been utilized in agriculture-in cooperation with image processing technologies-for phenotyping and vigor diagnosis. One of the problems in the utilization of UAVs for agricultural purposes is the limitation in flight time. It is necessary to fly at a high altitude to capture the maximum number of plants in the limited time available, but this reduces the spatial resolution of the captured images. In this study, we applied a super-resolution method to the low-resolution images of tomato diseases to recover detailed appearances, such as lesions on plant organs...
November 6, 2017: Sensors
https://www.readbyqxmd.com/read/29099790/design-of-uav-embedded-microphone-array-system-for-sound-source-localization-in-outdoor-environments
#3
Kotaro Hoshiba, Kai Washizaki, Mizuho Wakabayashi, Takahiro Ishiki, Makoto Kumon, Yoshiaki Bando, Daniel Gabriel, Kazuhiro Nakadai, Hiroshi G Okuno
In search and rescue activities, unmanned aerial vehicles (UAV) should exploit sound information to compensate for poor visual information. This paper describes the design and implementation of a UAV-embedded microphone array system for sound source localization in outdoor environments. Four critical development problems included water-resistance of the microphone array, efficiency in assembling, reliability of wireless communication, and sufficiency of visualization tools for operators. To solve these problems, we developed a spherical microphone array system (SMAS) consisting of a microphone array, a stable wireless network communication system, and intuitive visualization tools...
November 3, 2017: Sensors
https://www.readbyqxmd.com/read/29093742/integrative-field-scale-phenotyping-for-investigating-metabolic-components-of-water-stress-within-a-vineyard
#4
Jorge Gago, Alisdair R Fernie, Zoran Nikoloski, Takayuki Tohge, Sebastiá Martorell, José Mariano Escalona, Miquel Ribas-Carbó, Jaume Flexas, Hipólito Medrano
Background: There is currently a high requirement for field phenotyping methodologies/technologies to determine quantitative traits related to crop yield and plant stress responses under field conditions. Methods: We employed an unmanned aerial vehicle equipped with a thermal camera as a high-throughput phenotyping platform to obtain canopy level data of the vines under three irrigation treatments. High-resolution imagery (< 2.5 cm/pixel) was employed to estimate the canopy conductance (gc ) via the leaf energy balance model...
2017: Plant Methods
https://www.readbyqxmd.com/read/29084169/artificial-neural-network-to-predict-vine-water-status-spatial-variability-using-multispectral-information-obtained-from-an-unmanned-aerial-vehicle-uav
#5
Tomas Poblete, Samuel Ortega-Farías, Miguel Angel Moreno, Matthew Bardeen
Water stress, which affects yield and wine quality, is often evaluated using the midday stem water potential (Ψstem). However, this measurement is acquired on a per plant basis and does not account for the assessment of vine water status spatial variability. The use of multispectral cameras mounted on unmanned aerial vehicle (UAV) is capable to capture the variability of vine water stress in a whole field scenario. It has been reported that conventional multispectral indices (CMI) that use information between 500-800 nm, do not accurately predict plant water status since they are not sensitive to water content...
October 30, 2017: Sensors
https://www.readbyqxmd.com/read/29067032/comparative-uav-and-field-phenotyping-to-assess-yield-and-nitrogen-use-efficiency-in-hybrid-and-conventional-barley
#6
Shawn C Kefauver, Rubén Vicente, Omar Vergara-Díaz, Jose A Fernandez-Gallego, Samir Kerfal, Antonio Lopez, James P E Melichar, María D Serret Molins, José L Araus
With the commercialization and increasing availability of Unmanned Aerial Vehicles (UAVs) multiple rotor copters have expanded rapidly in plant phenotyping studies with their ability to provide clear, high resolution images. As such, the traditional bottleneck of plant phenotyping has shifted from data collection to data processing. Fortunately, the necessarily controlled and repetitive design of plant phenotyping allows for the development of semi-automatic computer processing tools that may sufficiently reduce the time spent in data extraction...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/29057847/time-series-uav-image-based-point-clouds-for-landslide-progression-evaluation-applications
#7
Abdulla Al-Rawabdeh, Adel Moussa, Marzieh Foroutan, Naser El-Sheimy, Ayman Habib
Landslides are major and constantly changing threats to urban landscapes and infrastructure. It is essential to detect and capture landslide changes regularly. Traditional methods for monitoring landslides are time-consuming, costly, dangerous, and the quality and quantity of the data is sometimes unable to meet the necessary requirements of geotechnical projects. This motivates the development of more automatic and efficient remote sensing approaches for landslide progression evaluation. Automatic change detection involving low-altitude unmanned aerial vehicle image-based point clouds, although proven, is relatively unexplored, and little research has been done in terms of accounting for volumetric changes...
October 18, 2017: Sensors
https://www.readbyqxmd.com/read/29051619/person-identification-from-aerial-footage-by-a-remote-controlled-drone
#8
Markus Bindemann, Matthew C Fysh, Sophie S K Sage, Kristina Douglas, Hannah M Tummon
Remote-controlled aerial drones (or unmanned aerial vehicles; UAVs) are employed for surveillance by the military and police, which suggests that drone-captured footage might provide sufficient information for person identification. This study demonstrates that person identification from drone-captured images is poor when targets are unfamiliar (Experiment 1), when targets are familiar and the number of possible identities is restricted by context (Experiment 2), and when moving footage is employed (Experiment 3)...
October 19, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29047778/low-cost-dynamic-real-time-foveated-imager
#9
Yajun Niu, Jun Chang, Fengxiang Lv, Benlan Shen, Weilin Chen
Foveated imaging systems have the ability to capture local high-resolution or high-magnification images with wide field of view (FOV); thus, they have great potential for applications in the field of monitoring and remote sensing of unmanned aerial vehicles. Hence, foveated optical systems are in strong demand. However, the existing foveated imaging systems either are equipped with expensive modulators or require fixing the local high resolution imaging field, which is not suitable for mass production or object tracking in industrial applications...
October 1, 2017: Applied Optics
https://www.readbyqxmd.com/read/29043046/among-tree-variability-and-feedback-effects-result-in-different-growth-responses-to-climate-change-at-the-upper-treeline-in-the-swiss-alps
#10
Matthias Jochner, Harald Bugmann, Magdalena Nötzli, Christof Bigler
Upper treeline ecotones are important life form boundaries and particularly sensitive to a warming climate. Changes in growth conditions at these ecotones have wide-ranging implications for the provision of ecosystem services in densely populated mountain regions like the European Alps. We quantify climate effects on short- and long-term tree growth responses, focusing on among-tree variability and potential feedback effects. Although among-tree variability is thought to be substantial, it has not been considered systematically yet in studies on growth-climate relationships...
October 2017: Ecology and Evolution
https://www.readbyqxmd.com/read/29041379/surface-deformation-recovery-algorithm-for-reflector-antennas-based-on-geometric-optics
#11
Jianhui Huang, Huiliang Jin, Qian Ye, Guoxiang Meng
Surface deformations of large reflector antennas highly depend on elevation angle. This paper adopted a scheme with the ability to conduct measurement at any elevation angle: carrying an emission source, an unmanned aerial vehicle (UAV) scans the antenna on a near-field plane, meanwhile the antenna stays stationary. Near-field amplitude is measured in the scheme. To recover the deformation from the measured amplitude, this paper proposed a novel algorithm by deriving the deformation-amplitude equation, which reveals the relation between the surface deformation and the near-field amplitude...
October 2, 2017: Optics Express
https://www.readbyqxmd.com/read/29039755/comparing-riegl-ricopter-uav-lidar-derived-canopy-height-and-dbh-with-terrestrial-lidar
#12
Benjamin Brede, Alvaro Lau, Harm M Bartholomeus, Lammert Kooistra
In recent years, LIght Detection And Ranging (LiDAR) and especially Terrestrial Laser Scanning (TLS) systems have shown the potential to revolutionise forest structural characterisation by providing unprecedented 3D data. However, manned Airborne Laser Scanning (ALS) requires costly campaigns and produces relatively low point density, while TLS is labour intense and time demanding. Unmanned Aerial Vehicle (UAV)-borne laser scanning can be the way in between. In this study, we present first results and experiences with the RIEGL RiCOPTER with VUX ® -1UAV ALS system and compare it with the well tested RIEGL VZ-400 TLS system...
October 17, 2017: Sensors
https://www.readbyqxmd.com/read/29036930/automatic-hotspot-and-sun-glint-detection-in-uav-multispectral-images
#13
Damian Ortega-Terol, David Hernandez-Lopez, Rocio Ballesteros, Diego Gonzalez-Aguilera
Last advances in sensors, photogrammetry and computer vision have led to high-automation levels of 3D reconstruction processes for generating dense models and multispectral orthoimages from Unmanned Aerial Vehicle (UAV) images. However, these cartographic products are sometimes blurred and degraded due to sun reflection effects which reduce the image contrast and colour fidelity in photogrammetry and the quality of radiometric values in remote sensing applications. This paper proposes an automatic approach for detecting sun reflections problems (hotspot and sun glint) in multispectral images acquired with an Unmanned Aerial Vehicle (UAV), based on a photogrammetric strategy included in a flight planning and control software developed by the authors...
October 15, 2017: Sensors
https://www.readbyqxmd.com/read/29027244/unmanned-aerial-vehicles-in-construction-and-worker-safety
#14
John Howard, Vladimir Murashov, Christine M Branche
Applications of unmanned aerial vehicles (UAVs) for military, recreational, public, and commercial uses have expanded significantly in recent years. In the construction industry, UAVs are used primarily for monitoring of construction workflow and job site logistics, inspecting construction sites to assess structural integrity, and for maintenance assessments. As is the case with other emerging technologies, occupational safety assessments of UAVs lag behind technological advancements. UAVs may create new workplace hazards that need to be evaluated and managed to ensure their safe operation around human workers...
October 13, 2017: American Journal of Industrial Medicine
https://www.readbyqxmd.com/read/29021803/uav-based-thermal-imaging-for-high-throughput-field-phenotyping-of-black-poplar-response-to-drought
#15
Riccardo Ludovisi, Flavia Tauro, Riccardo Salvati, Sacha Khoury, Giuseppe Mugnozza Scarascia, Antoine Harfouche
Poplars are fast-growing, high-yielding forest tree species, whose cultivation as second-generation biofuel crops is of increasing interest and can efficiently meet emission reduction goals. Yet, breeding elite poplar trees for drought resistance remains a major challenge. Worldwide breeding programs are largely focused on intra/interspecific hybridization, whereby Populus nigra L. is a fundamental parental pool. While high-throughput genotyping has resulted in unprecedented capabilities to rapidly decode complex genetic architecture of plant stress resistance, linking genomics to phenomics is hindered by technically challenging phenotyping...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/29019957/application-of-multilayer-perceptron-with-automatic-relevance-determination-on-weed-mapping-using-uav-multispectral-imagery
#16
Afroditi A Tamouridou, Thomas K Alexandridis, Xanthoula E Pantazi, Anastasia L Lagopodi, Javid Kashefi, Dimitris Kasampalis, Georgios Kontouris, Dimitrios Moshou
Remote sensing techniques are routinely used in plant species discrimination and of weed mapping. In the presented work, successful Silybum marianum detection and mapping using multilayer neural networks is demonstrated. A multispectral camera (green-red-near infrared) attached on a fixed wing unmanned aerial vehicle (UAV) was utilized for the acquisition of high-resolution images (0.1 m resolution). The Multilayer Perceptron with Automatic Relevance Determination (MLP-ARD) was used to identify the S. marianum among other vegetation, mostly Avena sterilis L...
October 11, 2017: Sensors
https://www.readbyqxmd.com/read/28974050/correction-domingues-franceschini-m-h-et-al-intercomparison-of-unmanned-aerial-vehicle-and-ground-based-narrow-band-spectrometers-applied-to-crop-trait-monitoring-in-organic-potato-production-sensors-2017-17-1428
#17
Marston Héracles Domingues Franceschini, Harm Bartholomeus, Dirk van Apeldoorn, Juha Suomalainen, Lammert Kooistra
The authors would like to correct Figure 13 and Table A2, as well as the text related to the data presented in both of them, as indicated below, considering that an error in the calculations involving Equation (2), described in the Section 2.8 of the Materials and Methods Section, resulted in the communication of incorrect values [...].
October 2, 2017: Sensors
https://www.readbyqxmd.com/read/28974041/brillouin-optical-correlation-domain-analysis-in-composite-material-beams
#18
Yonatan Stern, Yosef London, Eyal Preter, Yair Antman, Hilel Hagai Diamandi, Maayan Silbiger, Gadi Adler, Eyal Levenberg, Doron Shalev, Avi Zadok
Structural health monitoring is a critical requirement in many composites. Numerous monitoring strategies rely on measurements of temperature or strain (or both), however these are often restricted to point-sensing or to the coverage of small areas. Spatially-continuous data can be obtained with optical fiber sensors. In this work, we report high-resolution distributed Brillouin sensing over standard fibers that are embedded in composite structures. A phase-coded, Brillouin optical correlation domain analysis (B-OCDA) protocol was employed, with spatial resolution of 2 cm and sensitivity of 1 °K or 20 micro-strain...
October 2, 2017: Sensors
https://www.readbyqxmd.com/read/28961219/a-novel-online-data-driven-algorithm-for-detecting-uav-navigation-sensor-faults
#19
Rui Sun, Qi Cheng, Guanyu Wang, Washington Yotto Ochieng
The use of Unmanned Aerial Vehicles (UAVs) has increased significantly in recent years. On-board integrated navigation sensors are a key component of UAVs' flight control systems and are essential for flight safety. In order to ensure flight safety, timely and effective navigation sensor fault detection capability is required. In this paper, a novel data-driven Adaptive Neuron Fuzzy Inference System (ANFIS)-based approach is presented for the detection of on-board navigation sensor faults in UAVs. Contrary to the classic UAV sensor fault detection algorithms, based on predefined or modelled faults, the proposed algorithm combines an online data training mechanism with the ANFIS-based decision system...
September 29, 2017: Sensors
https://www.readbyqxmd.com/read/28961198/detection-of-nuclear-sources-by-uav-teleoperation-using-a-visuo-haptic-augmented-reality-interface
#20
Jacopo Aleotti, Giorgio Micconi, Stefano Caselli, Giacomo Benassi, Nicola Zambelli, Manuele Bettelli, Andrea Zappettini
A visuo-haptic augmented reality (VHAR) interface is presented enabling an operator to teleoperate an unmanned aerial vehicle (UAV) equipped with a custom CdZnTe-based spectroscopic gamma-ray detector in outdoor environments. The task is to localize nuclear radiation sources, whose location is unknown to the user, without the close exposure of the operator. The developed detector also enables identification of the localized nuclear sources. The aim of the VHAR interface is to increase the situation awareness of the operator...
September 29, 2017: Sensors
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