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Comparison of Anomaly Detection Methods on Event-Based Vision Sensor Data in a High Noise Environment.

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第一作者： Will,Johnston

第一单位： Department of Engineering Physics, Air Force Institute of Technology, 2950 Hobson Way, Fairborn, OH 45433, USA.

作者： Will,Johnston ^[1] ; Anthony,Franz ^[2] ; Shannon,Young ^[2] ; Rachel,Oliver ^[3] ; Zachry,Theis ^[4] ; Brian,McReynolds ^[5] ; Michael,Dexter ^[2]

作者单位： Department of Engineering Physics, Air Force Institute of Technology, 2950 Hobson Way, Fairborn, OH 45433, USA. ^[1] Center for Technical Intelligence Studies and Research, Air Force Institute of Technology, 2950 Hobson Way, Fairborn, OH 45433, USA. ^[2] Department of Aeronautics and Astronautics, Air Force Institute of Technology, 2950 Hobson Way, Fairborn, OH 45433, USA. ^[3] Space Vehicles Directorate, Air Force Research Laboratory, 3550 Aberdeen Ave SE, Albuquerque, NM 87117, USA. ^[4] Department of Physics and Meteorology, United States Air Force Academy, 2354 Fairchild Drive United States Air Force Academy, Colorado Springs, CO 80840, USA. ^[5]

关键词 Mahalanobis distance detector distance detector Reed–Xiaoli detector anomaly detection complementary subspace detector dynamic vision sensor event-based vision sensor frequency analysis high noise environment hyperspectral analysis neuromorphic camera principal component background suppression

DOI 10.3390/s26082320

PMID 42076429

发布时间 2026-05-07

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