Abstract: Computer vision methods have the potential to detect rust defects in steel components of bridges. However, direct use of images collected by aerial means to identify such defects is currently difficult because of obstructions ...

Abstract: Computer vision methods have the potential to detect rust defects in steel components of bridges. However, direct use of images collected by aerial means to identify such defects is currently difficult because of obstructions ...

Abstract: To effectively reduce model bias and improve assimilation quality, we adopt a hybrid adaptive approach of ensemble adjustment Kalman filter (EAKF) and multigrid analysis (MGA), called EAKF-MGA, to implement parameter ...