The atmosphere correction of multi angle remote sensing should consider the atmosphere surface coupled system and iterative inversion to calculate the coupled factor.This paper makes use of Rahman BRDF model and the iterative BRDF atmospheric correction method for NOAA satellite data to obtain multi angle atmosphere corrected images. The experiment has proved the feasibility of applying the MODIS atmosphere correction method to existing multi angle NOAA satellite data. Spectral curves after BRDF atmosphere correction match the surface curves mostly and the iteration converges fast. Under find weather condition

the error is very small after only one iteration. By comparison

the difference of image reflectance between the original image and the image after BRDF atmosphere correction can reach 30%. The variation trend of original images reflectance is different greatly from the measuring value of ground along with the angle changing. This result shows that BRDF atmosphere correction is indispensable

and even that the NOAA satellite data should not be used to quantitative remote sensing research

if it have not been corrected for atmosphere. Now

obtaining multi angle satellite remote sensing data exists a lot of difficulty

and the atmosphere correction is an indispensable step in multi angle remote sesing application for present obtainable abundance NOAA data.All these are only preliminary experimental results

and there still are some problems needed to do further study.For example

under bad weather condition

what will be the atmosphere correction result? It other BRDF modes such as Ambrals are adopted

will the atmosphere correction result be the same with the Rahmans? These also need the researchs on multi angle remote sensing theory to do futher study.