CAL-YOLO-based target detection algorithm for maritime aviation search and rescue
In order to address the issue of missed and falsely detected search and rescue targets in complex maritime environments,where targets are small in size and exhibit varying characteristics or there are occlusions when observed by search and rescue aircraft at different heights and angles,a CAL-YOLO-based maritime avia-tion search and rescue target detection algorithm is proposed.This algorithm is improved based upon the YO-LOv8s open-source framework,introducing the coordinate attention(CA)mechanism and small target detection layer to optimize the performance of maritime aviation search and rescue target detection,thereby enhancing the efficiency of maritime aviation search and rescue operations.The experimental results show that the algorithm im-proves the evaluation index of mAP50 by 11.8%and mAP50:95 by 8.8%.
maritime aviation search and rescueYOLOv8s algorithmsmall target detection layercoordi-nate attention(CA)mechanism
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