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Intelligent Known and Novel Aircraft Recognition -- A Shift from Classification to Similarity Learning for Combat Identification
Feb. 27, 2024, 5:47 a.m. | Ahmad Saeed, Haasha Bin Atif, Usman Habib, Mohsin Bilal
cs.CV updates on arXiv.org arxiv.org
Abstract: Precise aircraft recognition in low-resolution remote sensing imagery is a challenging yet crucial task in aviation, especially combat identification. This research addresses this problem with a novel, scalable, and AI-driven solution. The primary hurdle in combat identification in remote sensing imagery is the accurate recognition of Novel/Unknown types of aircraft in addition to Known types. Traditional methods, human expert-driven combat identification and image classification, fall short in identifying Novel classes. Our methodology employs similarity learning …
abstract aircraft arxiv aviation classification cs.ai cs.cv identification intelligent low novel recognition research scalable sensing shift solution type
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