一种基于特征点权重的机载InSAR系统区域网干涉参数定标方法

A Bundle Adjustment Calibration Method for Airborne InSAR System Based on Weighting of Feature Points

干涉参数外定标可以获取干涉相位偏置,并对干涉系统基线参数进行修正,提高干涉系统3维定位的精度。该文提出了一种新的区域网干涉参数定标算法,该方法采用特征点提取、最优相关匹配技术实现对交互连接的数据块同名点提取;利用加权联合定标技术实现少量控制点条件下干涉数据的参数定标,并对定标结果进行了理论分析。通过对具有不同地貌特征的实测机载数据的处理,验证了处理算法的有效性。

Interferometric parameters calibration of InSAR system can acquire both interferometric phase bias and accurate baseline parameters. Then planimetric and vertical accuracies can be improved much. An approach of interferometric calibration over very large areas is presented in this paper. It acquired corresponding points using feature points extraction and optimal matching, then weighted bundle adjustment is induced to realize calibration of each sub-data simultaneously. The calibration parameters are analyzed. Results using airborne data show robust of the algorithm with respect to different terrain type.