Analyzing DSIAC ATR algorithm development database utilizing transfer learning
Kemal Arda Özertem
Abstract:For military applications, recognizing the targets with a good accuracy is a vital skill. In the literature there are many machine learning-based works on target recognition in visible spectrum, since there are massive RGB datasets. However, it is very important to have the same capability in infrared spectrum for military applications. Because of that reason DSIAC database, which has both visible and infrared images of the same targets is introduced first. Then a straightforward and efficient transfer learnin… Show more
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