Hannadige Neranga K, Zhai Peng-Wang, Gao Meng, Franz Bryan A, Hu Yongxiang, Knobelspiesse Kirk, Jeremy Werdell P, Ibrahim Amir, Cairns Brian, Hasekamp Otto P
Opt Express. 2021 Feb 1;29(3):4504-4522. doi: 10.1364/OE.408467.
We developed a fast and accurate polynomial based atmospheric correction (POLYAC) algorithm for hyperspectral radiometric measurements, which parameterizes the atmospheric path radiances using aerosol properties retrieved from co-located multi-wavelength multi-angle polarimeter (MAP) measurements. This algorithm has been applied to co-located spectrometer for planetary exploration (SPEX) airborne and research scanning polarimeter (RSP) measurements, where SPEX airborne was used as a proxy of hyperspectral radiometers, and RSP as the MAP. The hyperspectral remote sensing reflectance obtained from POLYAC is accurate when compared to Aerosol Robotic Network (AERONET), and Visible Infrared Imaging Radiometer Suite (VIIRS) ocean color products. POLYAC provides a robust alternative atmospheric correction algorithm for hyperspectral or multi-spectral radiometric measurements for scenes involving coastal oceans and/or absorbing aerosols, where traditional atmospheric correction algorithms are less reliable.
我们为高光谱辐射测量开发了一种快速且准确的基于多项式的大气校正（POLYAC）算法，该算法使用从同地多波长多角度偏振计（MAP）测量中获取的气溶胶特性对大气路径辐射进行参数化。此算法已应用于同地的行星探测光谱仪（SPEX）机载测量和研究扫描偏振计（RSP）测量，其中SPEX机载测量用作高光谱辐射计的替代，RSP用作MAP。与气溶胶机器人网络（AERONET）以及可见红外成像辐射仪套件（VIIRS）海洋颜色产品相比，通过POLYAC获得的高光谱遥感反射率是准确的。对于涉及沿海洋和/或吸收性气溶胶的场景，POLYAC为高光谱或多光谱辐射测量提供了一种可靠的替代大气校正算法，而传统的大气校正算法在这些场景中不太可靠。
