Low-Altitude Infrared Slow-Moving Small Target Detection via Spatial-Temporal Features Measure.

ABSTRACT: Robust detection of infrared slow-moving small targets is crucial in infrared search and tracking (IRST) applications such as infrared guidance and low-altitude security; however, existing methods easily cause missed detection and false alarms when detecting infrared small targets in complex low-altitude scenes. In this article, a new low-altitude slow-moving small target detection algorithm based on spatial-temporal features measure (STFM) is proposed. First, we construct a circular kernel to calculate the local grayscale difference (LGD) in a single image, which is essential to suppress low-frequency background and irregular edges in the spatial domain. Then, a short-term energy aggregation (SEA) mechanism with the accumulation of the moving target energy in multiple successive frames is

SUBMITTER: Mu J 

PROVIDER: S-EPMC9324641 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature