seabet casino games title:Research on seabet casino games detection and precise positioning methods in ground penetrating radar echo data based on deep learning
seabet casino games time:19:30 pm on November 26, 2020
Reporting location:Railway Comprehensive Laboratory Building308
seabet casino games Announcement Person:Hou Feifei
seabet casino games Summary:
In recent years，Ground penetrating radar has been widely used in highway fields around the world，Mainly used for road thickness detection、Material evaluation and pavement disease investigation。my country is a big highway country，The highway is currently booming，It is very necessary to use ground penetrating radar perfectly for road condition evaluation，Because once the latent road disease appears，The effectiveness of its repairs、Economy will be limited，So use radar detection technology to detect potential road problems in time，Maintain as soon as possible，To improve the service life of pavement，Saving maintenance costs is of great significance。Due to the complexity of underground media，Situations that result in unsatisfactory or even unusable data collection，And the traditional method relies on expert judgment，Highly subjective，There is an urgent need to design an automated and real-time target detection algorithm。This seabet casino games describes the application background of target detection and parameter inversion using ground penetrating radar echo data，Theoretical basis based on improved deep learning framework and radar signal feature extraction，Obtain useful information by analyzing the characteristics of ground penetrating radar echo data，AdoptedFaster-RCNN deep learning framework for seabet casino games hyperbola detection，Then perform data classification on the detected targets。After initially framing the seabet casino games location，Design a dual clustering search evaluation algorithm to segment the framed seabet casino games area，Get point clustering，Includes seabet casino games clustering and non-seabet casino games clustering。Continue，Design filter conditions to retain seabet casino games clusters，Remove interference noise。final，Design an automatic extraction algorithm for fitting points to extract sample points from the final seabet casino games cluster for subsequent hyperbola fitting，Get its vertex，That is, the true position of the seabet casino games。Cross-validation through simulated data and measured data，Confirm the effectiveness of the proposed algorithm。
