智能化水下被动目标识别技术研究综述  

Review of intelligent underwater passive target recognition technology

作　　者：王雨婷 宋肖平 卜晓东 WANG Yuting;SONG Xiaoping;BU Xiaodong(The 726 Research Institute of CSSC,Shanghai 201108,China)

机构地区：[1]中国船舶集团有限公司第七二六研究所,上海201108

出　　处：《高科技与产业化》2024年第9期62-64,共3页High-Technology & Commercialization

摘　　要：近年来,深度学习技术的蓬勃发展为水下被动目标识别带来了新的突破和发展机遇。本文介绍了水下被动目标识别技术发展现状,对深度学习在被动目标识别中的研究进展和存在的问题进行了梳理。针对实际应用中面临的挑战,本文提出了对未来研究方向的期望与建议,为广大研究人员提供参考和启示。In recent years,the flourishing development of deep learning technology has brought new breakthroughs and development opportunities for underwater passive target recognition.This article introduces the current development status of underwater passive target recognition technology,and summarizes the research progress and existing problems of deep learning in passive target recognition.In response to the challenges faced in practical applications,this article proposes expectations and suggestions for future research directions,providing reference and inspiration for researchers.

关 键 词：深度学习 水下被动目标识别 水声信号处理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术]