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用蒙特-卡罗方法计算大气点扩散函数
引用本文:徐希孺,王平荣.用蒙特-卡罗方法计算大气点扩散函数[J].遥感学报,1999,3(4):268-278.
作者姓名:徐希孺  王平荣
作者单位:北京大学遥感与地理信息系统研究所,北京,100871
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,各种斜视星勒遥感不断涌现,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

关 键 词:大气点扩散函数  蒙特-卡罗方法
收稿时间:7/9/1998 12:00:00 AM
修稿时间:1998-07-09

Computing Atmospheric Point Spread Function by Monte_Carlo Method
XU Xi-Ru and WANG Ping-Rong.Computing Atmospheric Point Spread Function by Monte_Carlo Method[J].Journal of Remote Sensing,1999,3(4):268-278.
Authors:XU Xi-Ru and WANG Ping-Rong
Institution:Inst. Of Remote Sensing & GIS, Peking Univ., Beijing 1000871;Inst. Of Remote Sensing & GIS, Peking Univ., Beijing 1000871
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.
Keywords:Atmospheric pointspread function  Monte_carlo method  
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