Wang Mingxiu, Wang LiFeng, Jiao JunNan, Song QingJun, Ma ChaoFei, Yang Sheng, Ju WeiMin, Tian LiQiao, Lu YingCheng
Opt Lett. 2024 Aug 1;49(15):4090-4093. doi: 10.1364/OL.529026.
This paper presents a glint correction algorithm for high spatial resolution optical remote sensing imagery captured by the ER-2 Airborne Visual Infrared Imaging Spectrometer (AVIRIS). The algorithm employs linear and differential techniques to mitigate sun glint and sky glint effects, encompassing statistical glint reflections resulting from variations in imaging angles within strips and inter-strip variations due to Fresnel reflectance disparities. It aims to diminish Fresnel reflectance diversity on water surfaces and mitigate the distortions induced by glint reflectance during spectral and ocean color inversion. A comparative analysis of spectral and ocean color information in AVIRIS images before and after correction reveals enhanced accuracy following the glint correction. By systematically addressing multiple glint reflections and their ramifications, this method offers a valuable framework for correcting water surface glint in diverse high spatial resolution optical imagery.
本文提出了一种针对由ER-2机载可见红外成像光谱仪(AVIRIS)获取的高空间分辨率光学遥感影像的耀光校正算法。该算法采用线性和差分技术来减轻太阳耀光和天空耀光的影响,包括条带内成像角度变化导致的统计耀光反射以及由于菲涅尔反射差异引起的条带间变化。其目的是减少水面上的菲涅尔反射多样性,并减轻光谱和海洋颜色反演过程中耀光反射引起的畸变。对校正前后AVIRIS影像中的光谱和海洋颜色信息进行的对比分析表明,耀光校正后精度有所提高。通过系统地处理多种耀光反射及其影响,该方法为校正各种高空间分辨率光学影像中的水面耀光提供了一个有价值的框架。