HIGHLIGHTS
- who: Elisa Giusti et al. from the National Laboratory of Radar and Surveillance Systems (RaSS), National Inter-University Consortium for Telecommunication (CNIT), Pisa, Italy have published the Article: Proportional Similarity-Based Openmax Classifier for Open Set Recognition in SAR Images, in the Journal: (JOURNAL)
- what: The authors propose a new classifier to increase the robustness and accuracy. The authors evaluate the method by radar images of man-made targets from the Moving and Stationary Target Acquisition and Recognition (MSTAR) dataset. In this section, first, the authors highlight some of the inherent limitations of the Openmax . . .
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