| The HJ-1 satellite was successfully launched from Taiyuan Space Center in September, 2008. Till now, HJ-1 satellite has provided a large number of images covering different countries and region which played an important role in the construction of our country. However, due to the absorption and scattering effect of the atmosphere, a certain degree of non-surface information was involved in the remote sensing information captured by the sensor. Ergo, the atmospheric correction is necessary to be conducted before the HJ-1 remote sensing images are used in scientific research. There are lots of atmospheric correction methods currently. In this paper, a research of choosing the most effective atmospheric correction method on HJ-1 images has been made.Taking the HJ-1 remote sensing image as the research object and taking the diffuse processing of electromagnetic radiation as start, the general principle of atmospheric correction of remote sensing images has been summarized and analyzed in this paper. Then, by researching-deeply the method of based on Radiative Transfer Model and the method of image feature-based, an experiment was carried out on two research region with different climate and geographic conditions by using 6S Model and Dark-pixel method. The experimental results shows that both the two methods are effectively and reasonable for the HJ-1 atmospheric correction. Although, there are difference of the atmosphic correction effect between the two methods. By contrasting and analyzing with the measured reflectance and corrected reflectance, Radiative Transfer Model (6S) adapts to correct the area of desert and drought, Dark-pixel method adapts to correct the area of inshore and wetness.
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