Reinersman P N, Carder K L
Appl Opt. 1995 Jul 20;34(21):4453-71. doi: 10.1364/AO.34.004453.
Monte Carlo techniques are used to simulate atmospheric point-spread functions (PSF's) that are appropriate for the viewing geometries typical of the Airborne Visible-Infrared Imaging Spectrometer (AVIRIS). A model sensor is located at an altitude of 20 km and views a Lambertian surface through a horizontally homogeneous and vertically stratified atmosphere. Simulations show the effects on the PSF of variation of the aerosol phase function, the aerosol optical thickness, the sensor viewing angle, and the wavelength. An algorithm that uses the PSF to correct high-contrast images for adjacency effects is developed and applied to an AVIRIS image of Big Pine Key in the Florida Keys. A method to approximate the atmospheric PSF's without the need to resort to a Monte Carlo simulation is described. Correction of the AVIRIS image through the use of the approximated PSF is consistent with a previous correction. Error analysis is difficult and scene dependent; however, the correction algorithm is shown to be capable of indicating regions of high-contrast images in which conventional estimates of surface-leaving radiance are likely to be unreliable due to adjacency effects.
蒙特卡罗技术用于模拟大气点扩散函数（PSF），这些函数适用于机载可见红外成像光谱仪（AVIRIS）典型的观测几何结构。一个模型传感器位于20千米的高度，通过水平均匀且垂直分层的大气观测朗伯表面。模拟显示了气溶胶相位函数、气溶胶光学厚度、传感器视角和波长的变化对PSF的影响。开发了一种利用PSF校正高对比度图像邻接效应的算法，并将其应用于佛罗里达群岛大松岛的AVIRIS图像。描述了一种无需借助蒙特卡罗模拟即可近似大气PSF的方法。通过使用近似PSF对AVIRIS图像进行校正与先前的校正结果一致。误差分析困难且依赖于场景；然而，校正算法能够指出高对比度图像中由于邻接效应导致传统地表出射辐射估计可能不可靠的区域。
