面向无人机航拍图像传输的信道弹性编解码方法
A channel elastic encoding and decoding method for unmanned aerial vehicle image transmission
摘要
Abstract
Unmanned aerial vehicle(UAV)is recognized as the core component of the low-altitude economy network.It is crucial to achieve efficient image transmission in air-to-ground communication.During mission execution,rapid channel fluctuations are induced by changes in the flight area,including variations in signal-to-noise ratio(SNR)and transmission rate.To adapt to these changes,a channel elastic encoding and decoding method for UAV image transmis-sion was proposed.This method included a lightweight feature extraction module,a channel feature enhancement module,a transmission rate adaptive module,and symmetric decoding modules.The lightweight feature extraction module con-tained residual blocks and the mobile Mamba,which could quickly extract local detail features and global context.It could effectively obtain rich semantic features from aerial images.The feature enhancement module enhanced key seman-tic features according to the channel state SNR.The transmission rate adaptive module adjusted the size of transmitted fea-tures based on the channel transmission rate.Extensive experiments on the aerial image dataset(AID)demonstrate that the proposed method achieves higher transmission accuracy than the state-of-the-art methods.关键词
无人机航拍图像传输/信噪比自适应/速率自适应/语义通信Key words
UAV aerial image transmission/SNR adaptation/rate adaptation/semantic communication分类
信息技术与安全科学引用本文复制引用
张中强,邱奇,苗雅杰,黎斌,王野,石光明..面向无人机航拍图像传输的信道弹性编解码方法[J].物联网学报,2026,10(2):12-23,12.基金项目
国家自然科学基金资助项目(No.62501333) （No.62501333）
宁夏回族自治区自然科学基金资助项目(No.2026AAC030469) （No.2026AAC030469）
甘肃省自然科学基金资助项目(No.26JRRN002) （No.26JRRN002）
移动信息网络国家科技重大专项(No.2024ZD1300700) （No.2024ZD1300700）
贵州省基础研究计划项目(No.Qiankehejichu-MS[2026]269) （No.Qiankehejichu-MS[2026]269）
陕西省自然科学基础研究计划项目(No.2025JC-YBQN-924) （No.2025JC-YBQN-924）
鹏城实验室重大攻关项目(No.PCL2024A01,No.PCL2025A03) The National Natural Science Foundation of China(No.62501333),the Natural Science Basic Research Project of the Ningxia Hui Autonomous Region(No.2026AAC030469),the Natural Science Basic Research Project of Gansu Province(No.26JRRN002),the National Science and Technology Major Project-Mobile Information Networks(No.2024ZD1300700),the Basic Research Program of Guizhou Province(No.Qiankehejichu-MS[2026]269),the Natural Science Basic Research Project of Shaanxi Province(No.2025JC-YBQN-924),the Peng Cheng Laboratory Major Project(No.PCL2024A01,No.PCL2025A03) （No.PCL2024A01,No.PCL2025A03）
