【摘要】 本文利用连续数天的NOAA卫星数据 ,采用Rahman地表二向反射模型和基于地面 BRDF 反射率的大气校正方法反复迭代提取出多个角度大气校正后的图像 ,并对结果进行了分析。实验结果表明了在多角度遥感定量研究中BRDF大气校正的重要性 ,大气校正结果与地面实测结果相近 ,且迭代收敛迅速更多还原

【Abstract】 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.更多还原