Adaptive parameters optimization model with 3D information extraction for infrared small target detection based on particle swarm optimization algorithm

Abstract

Traditional small target detection methods could not adjust the parameters adaptively to achieve small target detection in real scene applications. To solve this problem, a novel small target detection method named Adaptive parameters optimization model with three-dimensional (3D) Information Extraction (A3DIE) is proposed. In this method, a multi-objective particle swarm optimization algorithm is designed to optimize the parameters in the 3D Information Extraction (3DIE) method and realize the adaptability of detection method in different detection scenarios. In the optimization algorithm, an adaptive environment selection strategy is developed to enhance the evolutionary ability and obtain high-quality solution sets. Furthermore, a knee point selection strategy is designed to obtain the optimal small target detection method parameters. The experimental results indicate that our method can accurately and stably detect small targets in different real scenes compared with the baseline methods.