滑坡灾害监测的圆弧合成孔径雷达大气相位校正方法

地基圆弧合成孔径雷达通过形变值测量实现滑坡预警,是一种重要的滑坡灾害监测遥感手段。大气相位校正影响形变值测量精度,是长时间稳定监测的关键技术。本文提出一种基于网格划分的两阶段大气相位校正方法。该方法通过特征提取及分类获得永久散射点,基于此实现监测点的自动筛选;利用网格估计大气相位,有效降低运算量,提高了计算效率;结合空间滤波和时间序列滤波,保证了大气相位估计的准确性。实测数据处理结果表明了该文所提方法在大气相位校正方面的有效性。

Correction method of atmospheric phase for arc-scanning synthetic aperture radar in landslide monitoring

Ground-based arc-scanning synthetic aperture radar realizes landslide warning through deformation measurement, and it is an important remote sensing method for landslide disaster monitoring. The atmospheric phase affects the accuracy of deformation value measurement, and the correction of the atmospheric phase is a key technology for long-term stable monitoring of the area of interest. In this paper, a two-stage atmospheric phase correction method based on grid division is proposed. This method obtains permanent scattering points through feature extraction and classification, realizes automatic screening of control points, and estimates atmospheric phase based on the grid. It effectively reduces the amount of computation, improves computational efficiency, and ensures the accuracy of atmospheric phase estimation by combining spatial and temporal filtering. The experimental results show the effectiveness of the proposed method in atmospheric phase correction.