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基于DEM的低相干区SAR干涉图卡尔曼滤波相位解缠算法

DOI: 10.6046/gtzyyg.2013.01.09, PP. 50-55

Keywords: InSAR,相位解缠,卡尔曼滤波,SRTM,DEM

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Abstract:

相位解缠是利用干涉合成孔径雷达(InSAR)进行DEM提取和微小地表形变测量的关键技术之一。常规的卡尔曼滤波相位解缠算法在地形平坦区域可以获得可靠的结果,但是在地形起伏较大的区域却容易产生误差的传递,致使其结果无法准确反演地表形变信息。为此,提出了一种基于DEM的SAR干涉图卡尔曼滤波相位解缠算法。该算法借助美国航天飞机测绘任务(SRTM)获得的DEM信息指导SAR干涉图解缠,以提高解缠的速度和精度。通过与常规卡尔曼滤波解缠算法的结果比较分析表明,利用SRTMDEM地形信息指导卡尔曼滤波相位解缠尤其能够提高低相干区域相位的解缠精度。

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