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InfoResearchPeer-reviewed

ATRNet-STAR: A Large Dataset and Benchmark Toward Remote Sensing Object Recognition in the Wild

Source
IEEE Xplore (Security & AI Journals)(opens in a new tab)
Published
Record updated

Summary

The authors introduce ATRNet-STAR, a large Synthetic Aperture Radar (SAR) dataset with 40 vehicle categories and over 190,000 annotated samples, about 10 times larger than the 1990s MSTAR dataset. They benchmark 15 representative methods under 7 experimental settings on classification and detection tasks derived from the dataset, and report insights and future research directions for SAR automatic target recognition.