Infrared UAV Target Detection Based on EC-CSP and Dual Path Feature Fusion
Aiming at the problem that the real-time and accuracy requirements of infrared UAV target detection are constantly improving,an infrared UAV target detection algorithm based on EC-CSP and dual feature fusion was proposed.Firstly,a CSP module(Efficient Channel Attention-Convolutional Block Attention Module-CSP,EC-CSP)combined with the ECA-CBAM attention mechanism is proposed to enable the network to focus on more important areas.Secondly,a Small target maxpool(STM)module with 5×5 and 9×9 pixel size maximum pooling is proposed to suppress the interference of background features on small-scale target features.Finally,a Global Feature Extracion(GFE)module that integrates 1×1 and 3×3 basic convolution operations is proposed and combined with the STM module to form a Dual Path Feature Fusion(DPFF)module to improve the fusion ability of global features and local features.The experimental results show that the new algorithm has achieved good experimental results.
万方数据
维普
