The application discloses an
infrared small target detection method based on space-time context
perception and compact
geometric representation, comprising the following steps: acquiring three adjacent images in a sequence of
infrared images to be detected; inputting a pre-trained
small target detection model to output a center
heat map, a center offset and an
effective radius prediction result, and completing positioning and
scale estimation of the
infrared small target; the small target detection model is used to extract multi-
time space features through a
backbone network and a feature
pyramid sharing weights, obtain space-time representation features suitable for infrared small target detection by introducing space-time context
perception information and constructing a
time domain difference enhancement and global gating adjustment mechanism, and realize direct prediction of the center position and the
effective radius of the small target in combination with a decoupled geometric parameter prediction network. The infrared small target detection task is modeled as target center position and
effective radius prediction, so that effective detection is realized while reducing model calculation complexity and labeling cost.