基于小波分析辅助GPS-IR反演土壤湿度研究

GPS-IR是一种基于卫星反射信号的新的遥感技术,利用SNR观测值中的卫星反射信号可实现土壤湿度的反演。针对卫星反射信号分离问题,提出一种基于小波分析的卫星反射信号分离新方法。实验表明,采用小波分析能够针对不同卫星的信噪比观测值作出相应变化,有效分离卫星直射信号,获取更加准确的卫星反射信号;采用线性回归模型能够很好地表示相对延迟相位与土壤湿度之间的相关性,通过小波分析获取的结果相对于低阶多项式结果有明显提高。

Study on Inversion of Soil Moisture Using Wavelet Analysis Assisted GPS-IR

GPS-IR is a new remote sensing technology based on satellite reflection signals. The inversion of soil moisture can be achieved by using satellite reflection signals in SNR observations. Aiming at the problem of satellite reflection signal separation, we propose a satellite reflection signal separation method based on wavelet analysis. Experiments show that wavelet analysis can make corresponding changes to the signal-to-noise ratio observations of different satellites, effectively separating satellite direct signals and obtaining more accurate satellite reflection signals. Linear regression model can well represent relative delay phase and soil moisture. The correlation between the wavelet analysis and the low-order polynomial is more obvious. Therefore, the method can be used as a new method for separating satellite reflected signals.