江西科学2026，Vol.44Issue(1)：39-43,5.DOI:10.13990/j.issn1001-3679.2026.01.006
复杂道路场景下无人机航拍视频去雾方法研究
Research on Dehazing Methods for UAV Aerial Videos in Complex Road Scenes
摘要
Abstract
To address the challenge of dehazing unmanned aerial vehicle(UAV)videos cap-tured in complex road environments,this study constructed a video dataset using the DJI Mini 4 Pro covering various scenes along Yunxiang Avenue and Huixian Avenue in Nan-chang.Three representative video dehazing methods-based on the Clearplus plugin,Dark Channel Prior and Retinex theory-were comparatively analyzed.Both objective metrics,in-cluding Peak Signal-to-Noise Ratio(PSNR)and Structural Similarity Index(SSIM),and a professional subjective visual evaluation framework were employed for comprehensive as-sessment.Experimental results indicate that the methods exhibit distinct performance char-acteristics under complex road conditions:The Clearplus-based approach achieves the best overall performance;the Retinex-based method performs exceptionally well in dense fog conditions;and the Dark Channel Prior method excels in preserving fine image details.This study provides a quantitative reference for selecting optimal dehazing solutions in practical applications such as intelligent traffic monitoring and UAV-based road surveillance.关键词
无人机/道路航拍/视频去雾/Clearplus/暗通道先验/RetinexKey words
UAV/road aerial video/video dehazing/Clearplus/dark channel prior/Retinex分类
信息技术与安全科学引用本文复制引用
邓晨斌..复杂道路场景下无人机航拍视频去雾方法研究[J].江西科学,2026,44(1):39-43,5.基金项目
国家自然科学基金项目(42064001). （42064001）
