XUXi_Ru WANGPing_Rong. Computing Atmospheric Point Spread Function by MonteCarlo Method[J]. Journal of Remote Sensing, 1999, (4): 268-278. DOI: 10.11834/jrs.19990404.
Computing Atmospheric Point Spread Function by MonteCarlo Method
the correction ofatmospheric effect has not been properly solved .Itis an exigenttask to find a method for diffusive radiation correction because of continualimprovementofsensor’s pixelsize and the continualemer gence ofvariousslant
v
iew satellite
b
ornesensors.Inthis paper
we havegotthe pointspreadfunction (PSF) ofdifferent pixelsizefor differentatmospheric condition by Monte
C
arlo method .The results show : (1) The effects ofatmospheric condition on the PSFand central pixel’s contributive percentage can’t be ignored . (2) The single scattering modelresultsin exaggerating contributive percentage ofbackground 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.Thecontributionsof pixels between them are decided by zenith angle ofsensor and aerosolsize spectrum
it has nothingto do with radiative wavelength and ground visible distance .