Interferometric synthetic aperture radar data selection based on topographic factors

Changhong Yang; Feifei Tang; Yongliang Zhu; Shenyao Wu; Ping Song

doi:10.1117/12.2613836

10 November 2021 Interferometric synthetic aperture radar data selection based on topographic factors

Changhong Yang, Feifei Tang, Yongliang Zhu, Shenyao Wu, Ping Song

Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 1205057 (2021) https://doi.org/10.1117/12.2613836
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China

Abstract

To select adaptive InSAR data source for difficult area to improve the deformation results, an InSAR data selection strategy is proposed in this paper. The topographic factors and InSAR data source parameters are combined to integrate the sensor’s viewing angle, terrain slope and aspect into a local incident angle, then the backscattering coefficients from 8 scenes of Sentinel-1 data in the study area is extracted, and the average value of the backscattering coefficients according to the classification results of the local incident angle is calculated. By analyzing the relationship between the origin InSAR data and the local incident angles, a local incident angle threshold is obtained. Finally, the credible area which is the important evidence in data source selection is obtained, which can be used as the mask data in the subsequent data processing to assist in improving the accuracy of the monitoring result.

Citation Download Citation

Changhong Yang, Feifei Tang, Yongliang Zhu, Shenyao Wu, and Ping Song "Interferometric synthetic aperture radar data selection based on topographic factors", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 1205057 (10 November 2021); https://doi.org/10.1117/12.2613836

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