UAV 3D-Draping System for Sharing Situational Awareness from Aerial Imagery Data

2021 ◽  
Author(s):  
Toru Yamanouchi ◽  
Go Urakawa ◽  
Shigeru Kashihara
Keyword(s):  
Situational Awareness ◽  
Aerial Imagery ◽  
Imagery Data

scholarly journals Dense Refinement Residual Network for Road Extraction From Aerial Imagery Data

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 151764-151782 ◽  
Author(s):  
Karuna Kumari Eerapu ◽  
Balraj Ashwath ◽  
Shyam Lal ◽  
Fabio Dell'Acqua ◽  
A. V. Narasimha Dhan
Keyword(s):  
Aerial Imagery ◽  
Road Extraction ◽  
Residual Network ◽  
Imagery Data

scholarly journals Entering the digital era of the Open Skies Treaty

2015 ◽  
Vol 64 (1) ◽  
pp. 65-74
Author(s):  
Agata Orych
Keyword(s):  
North American ◽  
Rapid Development ◽  
Transition Process ◽  
Aerial Imagery ◽  
Peace Building ◽  
Photographic Film ◽  
Technical Problems ◽  
Digital Era ◽  
Imagery Data

Abstract The Open Skies Treaty has been a peace-building instrument between North American and European nations for over two decades. This agreement is based on the possibility for each country-signatory of the Treaty to independently conduct observation flights and obtain aerial imagery data of the territories of other Treaty States-Parties. This imagery data was originally acquired only using traditional photographic film cameras. Together with the rapid development and advancement of digital sensor technologies, the logical step forward was to amend the Treaty provisions to allow for the use of these types of sensors during observation missions. This paper describes this transition process and highlights a number of technical problems which needed to be addressed by experts working within the Open Skies Consultative Commission workgroups.

Maintaining Situational Awareness: The Role of Visual Attention

1999 ◽  
Author(s):  
Alex Chaparro ◽  
Loren Groff ◽  
Kamala Tabor ◽  
Kathy Sifrit ◽  
Leo J. Gugerty
Keyword(s):  
Visual Attention ◽  
Situational Awareness

Review on Fog Based Spectrum Sensing for Artificial Intelligence

2018 ◽  
pp. 66-70
Author(s):  
A. Rethina Palin ◽  
I. Jeena Jacob
Keyword(s):  
Bandwidth Allocation ◽  
Situational Awareness ◽  
Cluster Head ◽  
Mesh Network ◽  
Network Systems ◽  
Markov Logic ◽  
Wireless Mesh ◽  
Local Environments ◽  
Reactive Routing ◽  
The Hierarchical Structure

Wireless Mesh Network (MWN) could be divided into proactive routing, reactive routing and hybrid routing, which must satisfy the requirements related to scalability, reliability, flexibility, throughput, load balancing, congestion control and efficiency. DMN (Directional Mesh Network) become more adaptive to the local environments and robust to spectrum changes. The existing computing units in the mesh network systems are Fog nodes, the DMN architecture is more economic and efficient since it doesn’t require architecture- level changes from existing systems. The cluster head (CH) manages a group of nodes such that the network has the hierarchical structure for the channel access, routing and bandwidth allocation. The feature extraction and situational awareness is conducted, each Fog node sends the information regarding the current situation to the cluster head in the contextual format. A Markov logic network (MLN) based reasoning engine is utilized for the final routing table updating regarding the system uncertainty and complexity.

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