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System Analysis of Counter-Unmanned Aerial Systems Kill Chain in an Operational Environment

Choon Seng Tan, Douglas L. Van Van Bossuyt, Britta Hale
2021 Systems  
The proliferation of Unmanned Aerial System (UAS) capabilities in the commercial sector is posing potentially significant threats to the traditional perimeter defense of civilian and military facilities  ...  This has prompted the need for facility commanders to have a methodology to conduct quick evaluation and analysis of the facility and the existing Counter-Unmanned Aerial System (CUAS)'s effectiveness.  ...  Table 4 . 4 Sensor Systems Typically Found in Counter-Unmanned Aerial Systems (CUASs). Table 5 . 5 Soft and Hard Kill Interceptors Typically Used in Counter-Unmanned Aerial Systems (CUASs).  ... 
doi:10.3390/systems9040079 fatcat:zytraeduhzarhmjeduysliidhy

Initiating Research into Adapting Rural Hedging Techniques, Hedge Types, and Hedgerow Networks as Novel Urban Green Systems

Lisa Höpfl, Defne Sunguroğlu Hensel, Michael Hensel, Ferdinand Ludwig
2021 Land  
This article seeks to initiate research into traditional rural hedging techniques, hedge types, and hedgerow networks for the purpose of their potential adaptation as urban green systems (UGS).  ...  The initial research indicates that traditional hedges can be adapted to vitally contribute to UGS by providing a broad range of urban ecosystem services.  ...  Acknowledgments: The authors would like to thank Madison Erdall for proofreading and layout of the manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/land10050529 fatcat:zhu2tep4wfaxpcbu5osxc2c3qi

Unmanned Aerial Vehicles (UAV) in Precision Agriculture: Applications and Challenges

Parthasarathy Velusamy, Santhosh Rajendran, Rakesh Kumar Mahendran, Salman Naseer, Muhammad Shafiq, Jin-Ghoo Choi
2021 Energies  
This research attempts to give a review of the most successful techniques to have precision-based crop monitoring and pest management in agriculture fields utilizing unmanned aerial vehicles (UAVs) or  ...  Unmanned aerial vehicles serve a critical role in crop disease surveillance and early detection in this setting.  ...  Types of Unmanned Aerial Vehicle (UAV) UAVs describe vehicles with weights around or lower to 25 kg which do not need a human to fly them as they can be managed remotely.  ... 
doi:10.3390/en15010217 fatcat:jw7jrqkstvconpru2xh7wkylbe

Mapping and Classification of Ecologically Sensitive Marine Habitats Using Unmanned Aerial Vehicle (UAV) Imagery and Object-Based Image Analysis (OBIA)

Daniele Ventura, Andrea Bonifazi, Maria Flavia Gravina, Andrea Belluscio, Giandomenico Ardizzone
2018 Remote Sensing  
Here, we adopted a lightweight quadcopter as an aerial survey tool and object-based image analysis (OBIA) workflow to demonstrate the strength of such methods in producing very high spatial resolution  ...  applications for remote sensing based on unmanned aerial vehicles (UAVs), sometimes referred to as "drones".  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs10091331 fatcat:w4smargm6nc6xl5x7w4cmzrfuy

From Pillars to AI Technology-Based Forest Fire Protection Systems [chapter]

Nikos Aspragathos, Eleftherios Dogkas, Pavlos Konstantinidis, Panagiotis Koutmos, Nefeli Lamprinou, Vassilis C. Moulianitis, Georgios Paterakis, Emmanouil Ζ. Psarakis, Evangelos Sartinas, Konstantinos Souflas, Georgios Thanellas, Georgios Tsiourlis (+2 others)
2019 Artificial Intelligence - Applications in Agriculture and Bio-system Engineering [Working Title]  
Fire risk assessment, reliable detection and localization of fire as well as motion planning, constitute the most vital ingredients of a fire protection system.  ...  We start our tour from the pillars which were for a long time period, the only possible method to oversee the forest fires.  ...  Acknowledgements This research was supported by the EU and Greek State on behalf of the program "Forest Monitoring System for Early Fire Detection and Assessment in the Balkan-Med Area (SFEDA)", MIS: 5013503  ... 
doi:10.5772/intechopen.86904 fatcat:xytfh6c5pjglxgmfvmalaiul4m

Drones for Biodiversity Conservation and Ecological Monitoring

Kristy Zhang
2019 Figshare  
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.  ...  The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.  ...  The application of small unmanned aerial systems for precision agriculture: A review. Stanton, C.; Starek, M.J.; Elliott, N.; Brewer, M.; Maeda, M.M.; Chu, T.  ... 
doi:10.6084/m9.figshare.11322092.v1 fatcat:lzjshsnscnb2pnnn6j4k5vfejy

WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming [article]

Inkyu Sa and Marija Popovic and Raghav Khanna and Zetao Chen and Philipp Lottes and Frank Liebisch and Juan Nieto and Cyrill Stachniss and Achim Walter and Roland Siegwart
2018 arXiv   pre-print
Furthermore, we release a large sugar beet/weed aerial dataset with expertly guided annotations for further research in the fields of remote sensing, precision agriculture, and agricultural robotics.  ...  We define the tile size to be the same as that of the DNN input to avoid resolution loss.  ...  Conflicts of Interest: The authors declare no conflict of interest. Abbreviations The following abbreviations are used in this manuscript:  ... 
arXiv:1808.00100v2 fatcat:ximvjlmgkrbixalpoun3urpiia

Automated cattle counting using Mask R-CNN in quadcopter vision system

Beibei Xu, Wensheng Wang, Greg Falzon, Paul Kwan, Leifeng Guo, Guipeng Chen, Amy Tait, Derek Schneider
2020 Computers and Electronics in Agriculture  
Experimental results in this research show the framework's potential to perform reliably in offline quadcopter vision systems with an accuracy of 94% in counting cattle on pastures and 92% in feedlots.  ...  A B S T R A C T The accurate and reliable counting of animals in quadcopter acquired imagery is one of the most promising but challenging tasks in intelligent livestock management in the future.  ...  Barbedo & Koenigkan (2018) presented a strong case for the using Unmanned Aerial Systems (UAS) platforms for cattle detection and counting over extensive properties such as those in Brazil and Australia  ... 
doi:10.1016/j.compag.2020.105300 fatcat:lp5rh2k2aza73eiu3ddzikgcki

Weed detection by UAV: simulation of the impact of spectral mixing in multispectral images

M. Louargant, S. Villette, G. Jones, N. Vigneau, J. N. Paoli, C. Gée
2017 Precision Agriculture  
This study aimed to assess the spectral information potential of images captured with an unmanned aerial vehicle, in the context of crop-weed discrimination.  ...  Classification between monocotyledonous and dicotyledonous plants requires pixels with a high vegetation rate: to obtain a probability to be correctly classified better than 80%, vegetation rates in the  ...  This study is also supported by the program ''ANR CoSAC'' (ANR-14-CE18-0007).  ... 
doi:10.1007/s11119-017-9528-3 fatcat:mrx36iul2rhihiwgopo7lyvn2i

Unmanned Aerial Vehicles in Agriculture: A Survey

Jaime del Cerro, Christyan Cruz Cruz Ulloa, Antonio Barrientos, Jorge de León Rivas
2021 Agronomy  
This survey has been carried out by providing a classification of the vehicles according to their typology and main sensorial and performance features.  ...  An extensive review of the most common applications and the advantages of using unmanned aerial vehicles is the core of the work.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/agronomy11020203 fatcat:yn7wm7u6tbfbpe7pctdybosl6a

HyperUAS-Imaging Spectroscopy from a Multirotor Unmanned Aircraft System

Arko Lucieer, Zbyněk Malenovský, Tony Veness, Luke Wallace
2014 Journal of Field Robotics  
One of the key advantages of a low-flying unmanned aircraft system (UAS) is its ability to acquire digital images at an ultrahigh spatial resolution of a few centimeters.  ...  Abstract One of the key advantages of a low-flying unmanned aircraft system (UAS) is its ability to acquire digital images at ultra-high spatial resolution of a few centimetres.  ...  Authors acknowledge support of Jan Hanuš from Global Change Research Centre ASCR, v.v.i. in Czech Republic, and Tim Malthus and José A.  ... 
doi:10.1002/rob.21508 fatcat:golpbazwu5gl7b5a4yye6amn2a

Unmanned Aerial Vehicles (UAVs) in environmental biology: a review

Maciej M. Nowak, Katarzyna Dziób, Paweł Bogawski
2019 European Journal of Ecology  
Since the 1990s, researchers have been exploring the potential of different types of unmanned aerial vehicles (UAVs) for monitoring Earth's surface.  ...  Most of these studies concerned the use of UAV to measure the vegetation parameters such as crown height, volume, number of individuals (14 studies) and quantification of the spatio-temporal dynamics of  ...  Consequently, since the 1990s, researchers have been exploring the potential of different types of unmanned aerial vehicles (UAVs) for monitoring Earth's surface, including the science of environmental  ... 
doi:10.2478/eje-2018-0012 fatcat:532goranhvgptex52g3cczs5ee

WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming

Inkyu Sa, Marija Popović, Raghav Khanna, Zetao Chen, Philipp Lottes, Frank Liebisch, Juan Nieto, Cyrill Stachniss, Achim Walter, Roland Siegwart
2018 Remote Sensing  
The main goal of this paper is developing a novel crop/weed segmentation and mapping framework that processes multispectral images obtained from an unmanned aerial vehicle (UAV) using a deep neural network  ...  The ability to automatically monitor agricultural fields is an important capability in precision farming, enabling steps towards more sustainable agriculture.  ...  Acknowledgments: We also gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPUs used for this research, Hansueli Zellweger for the management of the experimental  ... 
doi:10.3390/rs10091423 fatcat:bch46lr44jcp3fcevfcmqn5mh4

Developments on an Affordable Robotic System for Humanitarian Demining [chapter]

Pedro Santana, Luis Correia, Jose Barat
2008 Humanitarian Demining  
This joint collaboration emerged from the acknowledgement of a business and scientific opportunity stemming from the unavailability of sustainable robotic systems applicable to the mine action domain.  ...  A third feature that comes hand-in-hand with the multi-agent paradigm is modularity, something essential to foster vertical development and integration with off-line tools, such as simulation-based training  ...  The authors wish to thank Mel Todd for proofreading. Much of the work reported in this chapter is the result of a team work.  ... 
doi:10.5772/5417 fatcat:4r5lmudqjrg3nd7i3dnvooyare

Improving flood damage assessments in data-scarce areas by retrieval of building characteristics through UAV image segmentation and machine learning – a case study of the 2019 floods in southern Malawi

Lucas Wouters, Anaïs Couasnon, Marleen C. de Ruiter, Marc J. C. van den Homberg, Aklilu Teklesadik, Hans de Moel
2021 Natural Hazards and Earth System Sciences  
We carry out an object-based image analysis (OBIA) of high-resolution (11 cm ground sample distance) unmanned aerial vehicle (UAV) imagery to outline building footprints.  ...  We then use a support vector machine learning algorithm to classify the delineated buildings.  ...  By doing so, this study aims to create a framework to incorporate OBIA in flood damage assessments, assess the added value of high-resolution unmanned aerial vehicle (UAV) imagery in creating object-level  ... 
doi:10.5194/nhess-21-3199-2021 fatcat:k2fkuzjpcvbp7eas534x6ia52q
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