利用连续数天的NOAH卫星数据,根据Rahman半经验模型提取出多个角度的图像,并从理论上对结果进行分析。实验结果表明,模型反演正确,所得到的角度图像与实测情况符合并能用模型本身进行解释,所得到的3个参数图像具有识别地物的潜在价值。

This paper utilizes the sequential NOAA data to extract the multi-angle image following Rahmansemi-emperical model and analyzes the result in theory. According to the experimental result, the model is inversedcorrectly. The achieved multi-angle image coincides with real-measured data perfectly and can be explained by themodel itself. The achieved three parameter-image possesses the potential value in distinguishing ground objects.