The natural disasters and episodes of environment pollution require the territory surveillance by the agencies of territory protection. SMAT is a distributed system for the territory surveillance by means of missions performed by Unmanned Aircraft Vehicles (UAVs). A UAV is equipped with different payload sensors that will download streaming video of the target territory to the ground components of the system. The ground components are constituted by control stations that are responsible for the UAV tactical control (flight operations, sensor activities) and perform data gathering and transmission to a central station (Supervision and Coordination Station - SSC). The software functionality that we describe is MetaData Retrieval (MDR). It is one of the geo-spatial services provided by the SSC. The main focus is to provide additional information on the locations included in the cartographic maps. Cartographic maps are often thematic and do not contain all the information that is needed by any user. Furthermore, the maps need to be kept up-to-date with fresh information. On the Web there exists a large amount of information on the geographical areas generated by Volunteered Graphic Information projects (VGI) by the everyday experience of the users of the Web 2.0 applications through handhelds or mobile phones. These information on the spatial data are referred to as metadata. They are both spatially and temporally referenced and are presented by MDR in an interactive map that is useful to the mission operators for summarizing the information on the mission targets and the route way-points. Metadata can be essential for monitoring the evolution in time of the spatial objects and help in environmental emergencies when the retrieval of the past information on a certain spatial area is quickly needed. For these purposes MDR has a data warehouse that collects the history of annotations on the locations and allows to query it by a multi-dimensional, spatio-temporal query. Any user’s request to MDR searches for the metadata of some spatial objects. The MDR graphical user interface is a sort of Query By Example that allows the user to specify in a transparent way for which spatial objects the annotations are requested. MDR provides a characterization of the map in terms of the concepts corresponding to the users’ annotations. MDR applies a statistical filter to the tags in order to select the annotations that are valid with a high degree of certainty.

MetaData Retrieval: Annotation of Geo-Referenced Maps with Social Metadata in Support to Unmanned Aircraft Vehicles Missions

MEO, Rosa;ROGLIA, ELENA;
2011-01-01

Abstract

The natural disasters and episodes of environment pollution require the territory surveillance by the agencies of territory protection. SMAT is a distributed system for the territory surveillance by means of missions performed by Unmanned Aircraft Vehicles (UAVs). A UAV is equipped with different payload sensors that will download streaming video of the target territory to the ground components of the system. The ground components are constituted by control stations that are responsible for the UAV tactical control (flight operations, sensor activities) and perform data gathering and transmission to a central station (Supervision and Coordination Station - SSC). The software functionality that we describe is MetaData Retrieval (MDR). It is one of the geo-spatial services provided by the SSC. The main focus is to provide additional information on the locations included in the cartographic maps. Cartographic maps are often thematic and do not contain all the information that is needed by any user. Furthermore, the maps need to be kept up-to-date with fresh information. On the Web there exists a large amount of information on the geographical areas generated by Volunteered Graphic Information projects (VGI) by the everyday experience of the users of the Web 2.0 applications through handhelds or mobile phones. These information on the spatial data are referred to as metadata. They are both spatially and temporally referenced and are presented by MDR in an interactive map that is useful to the mission operators for summarizing the information on the mission targets and the route way-points. Metadata can be essential for monitoring the evolution in time of the spatial objects and help in environmental emergencies when the retrieval of the past information on a certain spatial area is quickly needed. For these purposes MDR has a data warehouse that collects the history of annotations on the locations and allows to query it by a multi-dimensional, spatio-temporal query. Any user’s request to MDR searches for the metadata of some spatial objects. The MDR graphical user interface is a sort of Query By Example that allows the user to specify in a transparent way for which spatial objects the annotations are requested. MDR provides a characterization of the map in terms of the concepts corresponding to the users’ annotations. MDR applies a statistical filter to the tags in order to select the annotations that are valid with a high degree of certainty.
2011
The NASA Conference on Intelligent Data Understanding
Mountain View, California
19-21 October 2011
The NASA Conference on Intelligent Data Understanding
NASA Aviation Safety Program, System-Wide Safety and Assurance Technologies Project
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-
290
291
https://c3.nasa.gov/dashlink/projects/43/
metadata; tag; geographic map; social networks; Volunteer Geographic Information System; OpenStreetMap; GeoNames; Unmanned Aircraft Vehicle
Meo, Rosa; Roglia, Elena; Ponassi, E.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/90914
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