吉林大学学报（信息科学版）2026，Vol.44Issue(3)：537-542,6.
无人机搭载的高光谱传感器影像辐射校正算法
Correction Algorithm of Image Radiation for Hyperspectral Sensor Carried by UAV
摘要
Abstract
This study addresses the intra and inter-strip radiometric non-uniformity in UAV(Unmanned Aerial Vehicle)push-broom hyperspectral imagery through an adaptive radiometric correction model based on minimum spectral features.By constructing a black-box model to simulate imaging physics,pixel-wise nonlinear mapping functions referenced to the minimum spectral features is established,synergistically optimizing intra-image spectral consistency and inter-strip radiometric uniformity.Experiments demonstrate that the corrected imagery exhibits radiation intensity fluctuation amplitude reduced to within 5％of original data,with over 90％elimination rates for inter-strip banding artifacts and brightness gradient distortion.The absolute error of total phosphorus concentration inversion in water bodies derived from corrected data remains stably controlled within the 0.05 mg/L precision threshold.The proposed model enhances multi-strip radiometric correction efficiency by establishing nonlinear relationships between spectral radiation characteristics and sensor response,significantly improving engineering applicability for quantitative inversion of push-broom hyperspectral data and providing a reliable radiometric reference for regional-scale hyperspectral remote sensing monitoring.关键词
高光谱/辐射校正算法/推扫式传感器/无人机Key words
hyperspectral/radiometric correction algorithms/push-broom sensors/unmanned aerial vehicle(UAV)分类
信息技术与安全科学引用本文复制引用
狄宇飞,景贵飞,张静潇..无人机搭载的高光谱传感器影像辐射校正算法[J].吉林大学学报（信息科学版）,2026,44(3):537-542,6.基金项目
北斗导航位置服务(北京)有限公司&北京航空航天大学校企联合博士后工作站研究基金资助项目(202307020003) （北京）
