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Extended Kalman Filter Phase Unwrapping Smooth Algorithm in InSAR Image

机译:扩展卡尔曼滤波相位展开insar图像中的平滑算法

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InSAR phase unwrapping is one of the key technologies in precise differential interferometry measurement. However, when the noise is more, wrapped phase easily make the unwrapping result's errors more. To solve this problem, phase error is compensated, and extended Kalman filter gain is limited within a certain range, error is suppressed in a relatively small area. Finally, extended Kalman filter smooth reduce the errors' spread. Using interference data of ESA ERS-1 satellite to do experiments, it show that this method is superior to least squares method, quality guided method and original Kalman filter method in unwrapping precision and quality, it has higher stability.
机译:INSAR相位展开是精确差动干涉测量测量中的关键技术之一。但是,当噪声更加时,包裹阶段容易使展开结果更多的错误。为了解决这个问题,补偿相位误差,并且扩展的卡尔曼滤波器增益在一定范围内有限,在相对较小的区域中被抑制错误。最后,扩展卡尔曼滤波器平稳地减少了错误的传播。使用ESASER-1卫星的干扰数据进行实验,表明该方法优于最小二乘法,质量引导方法和原装Kalman滤波方法在展开精度和质量,它具有更高的稳定性。

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