An Enhanced Offset Tracking Method: Providing Auxiliary Information for DInSAR Phase Filtering in Urban Areas
Author:
Liu Qingyu1, Lv Xiaoqi1, Huang Pingping1ORCID, Xu Wei1ORCID
Affiliation:
1. Key Laboratory of Radar Technology and Application, School of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
Abstract
In the application of synthetic aperture radar differential interferometry in urban environments, it is easy to regard the phase change in the deformation band of buildings under construction as noise that requires filtering. This introduces an error into the surrounding area while over-filtering, resulting in an error in the magnitude of the deformation measurement results for the entire region and the loss of deformation details in the surrounding area. Based on the traditional DInSAR workflow, this study added a deformation magnitude identification step, determined the deformation magnitude by using enhanced offset tracking technology, supplemented the filtering quality map and removed the construction areas that affect the interferometry in the filtering stage. The enhanced offset tracking technique adjusted the ratio of contrast saliency and coherence via the contrast consistency peak in the radar intensity image, which was used as the basis for adjusting the adaptive window size. The method proposed in this paper was evaluated in an experiment on a stable region using simulated data and in an experiment on a large deformation region using Sentinel-1 data. The experimental results show that the enhanced method has a better anti-noise ability than the traditional method, and the accuracy rate is improved by about 12%. The supplemented quality map can effectively remove the large deformation area to prevent over-filtering while ensuring the filtering quality, and it can achieve better filtering results.
Funder
Inner Mongolia Autonomous Region Major Scientific And Technological Projects Inner Mongolia Autonomous Region Natural Science Fund Inner Mongolia Autonomous Region Science and Technology Project
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference30 articles.
1. Gao, H., Liao, M., Liu, X., Xu, W., and Fang, N. (2022). Source Geometry and Causes of the 2019 Ms6.0 Changning Earthquake in Sichuan, China Based on InSAR. Remote Sens., 14. 2. Wang, Y., Zhao, J., Li, Z., Zhang, M., Wang, Y., Liu, J., Yang, J., and Yang, Z. (2021). Retrieving and Verifying Three-Dimensional Surface Motion Displacement of Mountain Glacier from Sentinel-1 Imagery Using Optimized Method. Water, 13. 3. Wang, H., Li, K., Zhang, J., Hong, L., and Chi, H. (2022). Monitoring and Analysis of Ground Surface Settlement in Mining Clusters by SBAS-InSAR Technology. Sensors, 22. 4. An analysis of the influence of filtering parameter on the performance of Goldstein InSAR interfergram filte;Wang;Remote Sens. Nat. Resour.,2019 5. Feng, Q., Xu, H., Wu, Z., You, Y., Liu, W., and Ge, S. (2016). Improved Goldstein Interferogram Filter Based on Local Fringe Frequency Estimation. Sensors, 16.
|
|