Pregled bibliografske jedinice broj: 712981
Methodology for semi‐automatic interpretation of digital multisensor images for the purpose of detection and extraction of unexploded ordnances
Methodology for semi‐automatic interpretation of digital multisensor images for the purpose of detection and extraction of unexploded ordnances // GEOBIA 2014, Advancements, trends and challenges / Gitas, Ioannis ; Mallinis, Giorgios ; Patias, Petros ; Stathakis, Dimitris ; Zalidis, Georgios (ur.).
Solun: Aristotle University of Thessaloniki, 2014. str. 567-572 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Methodology for semi‐automatic interpretation of digital multisensor images for the purpose of detection and extraction of unexploded ordnances
Autori
Racetin, Ivan ; Krtalić, Andrija
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
GEOBIA 2014, Advancements, trends and challenges
/ Gitas, Ioannis ; Mallinis, Giorgios ; Patias, Petros ; Stathakis, Dimitris ; Zalidis, Georgios - Solun : Aristotle University of Thessaloniki, 2014, 567-572
Skup
GEOBIA 2014, 5th Geographic Object-Based Image Analysis Conference
Mjesto i datum
Solun, Grčka, 21.05.2014. - 24.05.2014
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Image processing and analysis ; Military ; Remote Sensing ; Statistics
Sažetak
The consequences of explosion of ammunition storage depots are spatially scattered unexploded ordnances (UXOs). The unplanned explosion of ammunition depot, caused by extensive forest fire, happened in Pađene, Croatia. Airborne multisensor image acquisition (with Advanced Intelligence Decision Support System ‐ AI DSS) over destroyed ammunition depot in Pađene, Croatia, has been executed. In this paper we introduce a novel methodology for semi‐automatic interpretation of digital multisensor images for the purpose of detection and extraction of UXOs on images provided with AI DSS. It includes methods and procedures based on the statistical and object image analysis for improved identification and extraction of UXOs. The method is designed to assist the interpreter in the analysis of images, rather than as an automatic method for image analysis.
Izvorni jezik
Engleski
Znanstvena područja
Geologija, Geodezija
POVEZANOST RADA
Ustanove:
Geodetski fakultet, Zagreb,
Fakultet građevinarstva, arhitekture i geodezije, Split