首页 >  1999, Vol. 3, Issue (4) : 1993-2002

摘要

全文摘要次数: 3165 全文下载次数: 12
引用本文:

DOI:

10.11834/jrs.19990404

收稿日期:

1998-07-09

修改日期:

1998-07-28

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用蒙特-卡罗方法计算大气点扩散函数
摘要:

大气效应的纠正是一个仍未被彻底解决的定量遥感问题,随着遥感器空间分辨率的不断提高,各种斜视星载遥感器的不断涌现,寻找交叉辐射项的修正方法日显迫切,该文应用蒙特 卡罗(M C) 方法求得不同大气条件下的点扩散函数图形,结果显示:(1) 大气状况对点扩散函数的形状、目标像元的贡献率有不可忽略的影响;(2) 一次散射的假定将导致夸大背景像元的贡献率,其绝对误差最大可达7%,其相对误差最大可达40%;(3) 斜视条件下与传感器同侧的像元贡献率最大,对侧像元的贡献率最小,其间的过渡曲线形状决定于传感器斜视角度与气溶胶尺度谱,而与入射辐射波长和大气能见度无关。

Computing Atmospheric Point Spread Function by Monte_Carlo Method
Abstract:

Up to now, the correction of atmospheric effect has not been properly solved.It is an exigent task to find a method for diffusive radiation correction because of continual improvement of sensor's pixel size and the continual emergence of various slant-view satellite-borne sensors. In this paper, we have got the point spread function (PSF) of different pixelsize for differentat mospheric condition by Monte-Carlo method.The results show:(1) The effects of atmospheric condition on the PSF and central pixel's contributive percentage can't be ignored. (2) The single scattering modelresultsin exaggerating contributive percentage of background pixel, the maximum of its absolute erroris about7% and its relative erroris about 40%. (3) In the situation ofslantview, the maximum contribution comesfrom pixels with the same azimuth angle ofsen sorandthe minimum contribution comesfrom pixels withthe oppositeside ofsensor'sazimuth angle.The contributions of pixels between them are decided by zenith angle ofsensor and aerosolsize spectrum, it has nothingto do with radiative wavelength and ground visible distance.

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