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中文摘要：
以系统热噪声、时空基线、季节性变化和多普勒质心频率作为影响因子,建立主图像选取函数,根据生成相干系数矩阵预测最佳主图像,并利用拉斯维加斯地区的数据实际处理结果对该方法的预测结果进行验证。结果表明该方法能够准确地预测PSInSAR数据处理中不相干图像个数以及图像之间的相干系数,为最佳主图像的选取提供可靠的参考依据。
英文摘要：
Several factors are adopted to establish the optimal master image function,which are system thermal noise,vertical baseline,temporal baseline,seasonal changes and Doppler centroid frequency.In order to verify the validation of this method,the ASAR data of Las Vegas are used to test and verify the predictions with actual results.It shows that this method can be used to predict both the number of interferograms and the coherence between images,which can provide a reliable reference for the selection of the optimal master image.
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