Learning Nonlocal Quadrature Contrast for Detection and Recognition of Infrared Rotary-Wing UAV Targets in Complex Background
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DOI: 10.1109/tgrs.2022.3203785
Abstract: Traditional data-driven algorithms suffer from data reliance, hyperparameter sensitivity, and faint characteristics in infrared (IR) “low, slow, and small” unmanned aerial vehicle target detection and recognition, resulting in performance degradation in complex backgrounds. Inspired by… read more here.
Keywords: detection recognition; contrast; feature; nonlocal quadrature ... See more keywords