Pregled bibliografske jedinice broj: 622566
Levels of data within AI DSS
Levels of data within AI DSS // The 9th International Symposium “HUMANITARIAN DEMINING 2012”, Book of papers / Pavković, Nikola (ur.).
Zagreb: Hrvatski centar za razminiranje - Centar za testiranje, razvoj i obuku (HCR-CTRO), 2012. str. 41-44 (predavanje, nije recenziran, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 622566 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Levels of data within AI DSS
Autori
Andrija Krtalić
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
The 9th International Symposium “HUMANITARIAN DEMINING 2012”, Book of papers
/ Pavković, Nikola - Zagreb : Hrvatski centar za razminiranje - Centar za testiranje, razvoj i obuku (HCR-CTRO), 2012, 41-44
ISBN
978-953-99879-9-0
Skup
The 9th International Symposium “HUMANITARIAN DEMINING 2012”
Mjesto i datum
Šibenik, Hrvatska, 24.04.2012. - 26.04.2012
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Nije recenziran
Ključne riječi
levels of data ; AI DSS ; MIS ; DOF ; contextual data
Sažetak
Mine clearance and reduction of Suspected Hazardous Area (SHA) are complementary actions in the process of removing the mines and of finding the final solution of mine problem in Croatia. Reduction of SHA in Croatia is carried out with the help of Advanced Intelligence Decision Suport System (AI DSS). The system analyzes and processes all available and comparable information, data and expert knowledge of the mine scene. For that purpose information and data from Minefield Information Systems (MIS) in Croatia and Bosnia and Herzegovina are need to be complemented with new and different data. In this article are listed and described types of images, information, data and expert knowledge used in decision support system for humanitarian demining for SHA reduction in Croatian and Bosnia and Herzegovina. These images, information and data were collected with aim to enable reliable detection of the indicators of mine presence and the indicators of mine absence. The quality of acquired images by AI DSS depends on the indicators that are looking at the scene. The public and comercial satellite images were very useful source for wider view of the considered areas, especially if they are collected with a time base. Contextual information and expert knowledge are associated with the type and configuration of the terrain and the indicators that are contained on it. All of mentioned type of data were used for the fusion of data and production of danger maps. Experts use those danger maps and the results of AI DSS for decision support in humanitarian demining.
Izvorni jezik
Engleski
Znanstvena područja
Geodezija