Detection of strong mine presence indicators using intelligent algorithms (CROSBI ID 661028)
Prilog sa skupa u zborniku | izvorni znanstveni rad
Podaci o odgovornosti
Horvat, Marko ; Žagar, Marinko ; Ivelja, Tamara
engleski
Detection of strong mine presence indicators using intelligent algorithms
Suspected Hazardous Area extent is a very important task. It can be done by using advanced computer vision methods and artificial intelligence algorithms on airborne and space imagery in order to extract new information of SHA and to detect indicators of mine presence. We introduce the concept and describe a procedure of strong mine presence indicators detection by using convolutional neural networks and rule-based inference. Also, we propose a recommender system that improves detection quality with interactive relevance feedback. Such a system may also assist in post-processing procedures and classification of indicators after their detection.
Strong mine presence indicators, DNN, Rule Based System
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Podaci o prilogu
25-28.
2018.
objavljeno
Podaci o matičnoj publikaciji
The 15th International Symposium “Mine Action 2018.” Book of Papers
Adlešič, Đurđa ; Bajić, Milan ; Mateša Mateković, Nataša ; Modrušan, Zdravko ; Njari, Eugen ; Pavković, Nikola ; Trut, Damir
Zagreb: Hrvatski centar za razminiranje - Centar za testiranje, razvoj i obuku (HCR-CTRO)
1849-3718
Podaci o skupu
The 15th International Symposium ''Mine Action 2018''
predavanje
09.04.2018-12.04.2018
Slano, Hrvatska