Abstract This paper introduces the key technology, refined process, and differences in mainstream software packages for optical coseismic deformation extraction. Geoscientific operators such as displacement gradient, curl, dilatation, and shear strain are derived based on the optical coseismic deformation field. Taking the MW7.4 earthquake in Maduo, Qinghai province in 2021 as an example, we test the refined process of coseismic deformation extraction based on Sentinel-2 optical images. The results indicate post-processing of subpixel correlation matching results can effectively eliminate white noise and additive noise caused by orbit error, strip error, scenes and sensor factors, highlight deformation details, and more objectively describe the coseismic deformation spatial distribution.
HUANG Yu,LIU Xiaoli,MO Xinyu et al. Coseismic Deformation Extraction Method and Geodynamic Significances of Displacement Gradients Based on Optical Imagery[J]. jgg, 2024, 44(5): 485-490.
HUANG Yu,LIU Xiaoli,MO Xinyu et al. Coseismic Deformation Extraction Method and Geodynamic Significances of Displacement Gradients Based on Optical Imagery[J]. jgg, 2024, 44(5): 485-490.