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ＭＩＳＲ计划于１９９８年搭载ＥＯＳ的ＡＭ１平台发射升空。目前我们利用仿真数据和现在已有的机载ＡＳＡＳ多角度数据来测试分析ＭＩＳＲ数据所需要的算法。ＭＩＳＲ数据的处理可以分为３个主要的顺序执行的阶段。第一阶段的作用是提取景上空的必要的大气特性。第一阶段处理的结果可以被第二阶段用来一个象素一个象素地从景中提取表面光谱ＨＤＲＦ。最后，在第三阶段中，第二阶段获得的ＨＲＤＦ被用来对一个３参数ＢＲＦ模型进行线性化，以便提取对应的ＢＲＦ。我们给出了基于仿真ＭＩＳＲ数据的提取算法的结果。
MISR plans to launch the AM1 platform powered by EOS in 1998. At present, we use the simulation data and the existing multi-angle data onboard ASAS to test the algorithms required to analyze the MISR data. MISR data processing can be divided into three major stages of the order of execution. The purpose of the first stage is to extract the necessary atmospheric characteristics over the scene. The results of the first stage of processing can be used by the second stage to extract the surface spectrum HDRF from the scene pixel by pixel. Finally, in the third phase, the HRDF obtained in the second phase is used to linearize a 3-parameter BRF model in order to extract the corresponding BRF. We present the results of the extraction algorithm based on the simulated MISR data.