一种RetinaNet与SE融合的航空取证目标检测算法

针对在开展航空侦察取证时缺乏自动化、智能化取证手段的情况,提出了一种基于Reti-naNet与SE融合的航空取证目标检测算法,解决目标尺度变化大、数据集中类别不均衡的问题,并通过SE (squeeze-excitations)模块引入注意力机制进一步改进性能.该改进算法中的特征金字塔网络FPN可有效应对目标尺寸变化较大...

An Aerial Forensic Target Detection Algorithm Based on RetinaNet and SE Fusion

Aiming at the lack of automated and intelligent forensics methods in the aviation recon?naissance and evidence collection,an aviation forensics target detection algorithm based on the fusion of RetinaNet and SE is proposed to solve the problem of large changes in target scale and imbalance in data collection.The performance is further improved by introducing an attention mechanism through the SE(squeeze-excitations)module.The feature pyramid network(FPN)can effectively deal with the problem of large changes in target scale,Focal Loss can effectively deal with the imbalance of categories in dataset,the SE module introduces a channel attention mechanism to strengthen the feature map,and can further use the extracted channel correlation to enhance effective features and suppress ineffective features.Through simulation experiments,it is verified that the algorithm can im?prove the accuracy of target detection with a small amount of calculation increased,further enhance the characterization ability of the model,and effectively improve the efficiency of target detection,which can provide a reference for related engineering applications.