无人机水面溺水人员识别的降噪处理  

Noise Reduction Processing for Identifying Drowning Individuals on the Water Surface Using UAV

作　　者：周德让 ZHOU Derang(Hebi Vocational and Technical College,Hebi 458030,China)

机构地区：[1]鹤壁职业技术学院,河南鹤壁458030

出　　处：《科技创新与生产力》2025年第3期142-144,149,共4页Sci-tech Innovation and Productivity

基　　金：河南省科技攻关项目(232102210084);鹤壁职业技术学院校本重点课题(2023-KJZD-002)。

摘　　要：在众多水面溺水救援作业中,因无人机能充分发挥其便携以及在较短时间内将救援物品投送到所需位置的特点,解决了以往难以快速识别溺水人员的关键环节问题,特提出一种适用于水面溺水人员图像去噪的方法,将获得的图像进行去噪处理,为后续的图像精准识别提供较好的预处理,达到了智能化、快速化有效识别溺水人员的目的。In numerous water drowning rescue operations,due to the portability of UAVs and the ability to deliver rescue items to the required location in a short period of time,a key link problem that was difficult to quickly identify drowning individuals in the past has been solved.A method suitable for image denoising of water drowning individuals is proposed,which denoises the obtained images and provides good preprocessing for subsequent accurate image recognition,achieving intelligent,rapid and effective identification of drowning individuals.

关 键 词：溺水救援 自识别 图像去噪 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]