基于蚁群优化的GPS/DInSAR三维形变监测方法

Integration of GPS and DInSAR for 3 D Deformation Monitoring Based on Ant Colony Optimization

摘要:

提出一种基于蚁群优化的GPS/DInSAR形变测量方法，将高精度地表散点GPS三维观测量与DInSAR视线向观测量进行深度融合，提取地表真三维形变量.以GPS约束与DInSAR约束基于Gibbs方程构建能量函数，利用蚁群优化算法在连续空间求解能量函数最小值.实验研究结果表明，该方法在连续地表三维形变测量中具有较高精度，特别是垂直方向上具明显优势.

Abstract:

To acquire three dimension surface deformation, a measurement method based on ant colony optimization (ACO) was proposed. It highly integrated high accuracy GPS observations from sparse ground points with the line of sight(LOS) measurements acquired by DInSAR. Two constraints, GPS and differential In SAR(DInSAR) observations, were employed in constructing the energy function based on Gibbs equation, whose minimum value was searched by the ACO operated in a continuous space. A relatively high accuracy of 3 D deformation monitoring was achieved by the proposed method, especially a significant improvement in the vertical direction.