Time-Frequency Analysis Method of Seismic Data Based on Sparse Constraints for Road Detection

Geophysical exploration is important for road construction and maintenance. Before road construction, geophysical exploration is required to detect the geological structure to ensure the construction of the road; after the road is completed, geophysical exploration is still required to detect diseases in time. As a traditional geophysical exploration method, seismic exploration is important in road detection for its large detection depth and high resolution. The seismic attribute information obtained from seismic data can reflect many hidden information. As an important seismic attribute extraction method, time-frequency analysis method can simultaneously describe the energy density and intensity of seismic signals at different times and frequencies, which is of great significance to geological interpretation. However, traditional time-frequency analysis methods are low resolution and insufficient focusing. In this paper, on the basis of linear time-frequency analysis, the L1 norm constraint will be introduced, and the time-frequency analysis method will be implemented from the perspective of inversion, so as to reduce the influence of the multi-solution of the method and improve the method's resolution and focusing. In this paper, two numerical simulation data and one real seismic data of road detection are employed to test the proposed new method.