DETECTION OF SEA SURFACE SMALL TARGETS IN INFRARED IMAGES BASED ON MULTILEVEL FILTER AND MINIMUM RISK BAYES TEST

摘要

This paper discusses the research in small target detection in infrared images with heavy clutter background. For most infrared images, ship objects are rather dim in the relative dark sea surface background. The existence of scan line disturbance and noise also increases the difficulty in proper detection. Dim objects must be distinguished from a dark background. On the other hand, the small targets must also be distinguished from clutters.