一种高灵敏度红外对海影像的相对辐射定标方法  

High-precision Non-uniformity Correction Algorithm for High Sensitivity Infrared Remote Marine Images

作　　者：李岩[1] 王海燕[2] 何红艳[1] LI Yan;WANG Haiyan;HE Hongyan(Beijing Instite of Space Mechanics&Electricity,Beijing 100094,China;China Centre for Resources Satellite Data and Application,Beijing 100094,China)

机构地区：[1]北京空间机电研究所,北京100094 [2]中国资源卫星应用中心,北京100094

出　　处：《航天返回与遥感》2025年第2期122-132,共11页Spacecraft Recovery & Remote Sensing

摘　　要：红外遥感影像的相对辐射定标精度不仅影响目视效果,甚至影响海洋温度反演的精度。对于高灵敏度红外遥感器而言,基于星上定标黑体校正后的影像都会有残余的条纹噪声,无法满足高灵敏度红外对海成像数据的辐射定标要求。针对上述问题,文章提出一种高灵敏度红外对海影像的高精度相对辐射定标方法。首先,利用红外遥感器星上定标数据进行初次的相对辐射校正;然后针对初次校正后的残余条纹噪声,使用一种基于小样本统计的方法进行去除;最后,对影像中的闪元进行实时地检测及去除,进一步提高红外影像的辐射质量。试验结果显示相对辐射定标精度优于1%,验证了该算法的有效性。The non-uniformity correction is crucial for the successful application of infrared images,as it directly impacts the visual quality and the accuracy of sea surface temperature.However,this method often results in residual stripe noise and flash pixels within the infrared remote images,which fails to meet the requirements for high-sensitivity infrared images.To improve the relative radiation correction precision for high-sensitivity infrared images,we propose a high-precision non-uniformity correction algorithm in this paper.Firstly,infrared marine images are corrected based on on-board calibration data.Secondly,an improved statistical algorithm based on small samples of infrared images is proposed to remove residual stripe noise.Finally,flash pixels are detected and removed based on the images in real-time.The accuracy of the relative radiation correction was better than 1%,and the algorithm's validity was verified through experiments.

关 键 词：高灵敏度 红外 对海影像 相对辐射定标 

分 类 号：P731[天文地球—海洋科学]