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山体的叠掩和阴影现象造成的信号去相关,一直是InSAR重建山区地表高程的瓶颈之一。为此,提出了一种新的基于粗分辨率SRTM DEM(约90m分辨率)辅助InSAR数据重建山区地表高程的方法。利用SRTM DEM模拟的干涉相位,对ERS-1/2干涉相位做去地形相位处理,得到残余相位。通过对解缠后的残余相位计算方差提取叠掩和阴影区域的噪声,并用平均相位近似恢复噪声区域的相位,然后将其转换为高程,并用SRTM DEM作高程补偿处理,从而实现地表高程重建。最后,定量比较了该方法与传统InSAR技术生成的DEM精度。实验表明,这种方法能有效提高传统InSAR技术生成地表高程的精度,这对提高星载雷达数据的使用效率具有重要意义。
Correlating the signal from the overlying mountain and shadowing of the mountain has been one of the bottlenecks in reconstructing the surface elevation of the mountains in InSAR. To this end, a new method of reconstructing the mountain surface elevation based on InSAR data based on coarse resolution SRTM DEM (about 90m resolution) is proposed. Using the phase of the interference simulated by SRTM DEM, the phase of the ERS-1/2 interferometric phase is subjected to the terrain phase processing to obtain the residual phase. Surface elevation reconstruction is achieved by calculating the variance of the unwrapped residual phase and extracting the noise from the overlay mask and the shadow area, recovering the phase of the noise region approximately with the average phase, then converting it to elevation and SRTM DEM for elevation compensation. Finally, the accuracy of DEM generated by this method and the traditional InSAR technique is compared quantitatively. Experiments show that this method can effectively improve the precision of surface elevation generated by traditional InSAR technology, which is of great significance to improve the use efficiency of spaceborne radar data.