There are always some uneven aerosol or thin cloud effects in the remote sensing image of large-scale inland water.These uneven effects bring great difficulty to atmospheric radiant correction of remote sensing images in such regions.Furthermore

because the water is the object with low reflectivity

these uneven effects bring large errors to the water information inversion by remote sensing technology.For some reasons

it is some times impossible for us to use traditional atmospheric radiant correction algorithms（such as MODTRAN or 6S software） to reduce such effects.With some remote sensing images and ground collecting data in Taihu Lake in China

an important inland water research place of Chinese remote sensing scholars

the authors use a new method to resolve this problem.This method considers the optical characteristics of water-atmosphere environment carefully

assumes each pixel’s spectrum is the mixed result of water

pollutant and aerosol or thin cloud

for the optical property of Taihu（Lake’s） remote sensing images is determined by water

pollutant and aerosol or thin cloud.Based on Mixed Pixel Model

this method reduces the effects of aerosol and thin cloud effectively.After the process of this method

we can get more veracious water quality information from remote sensing images.In（author’s） test

to the same remote sensing inversion model

this method can increase 5 percent precision.