Abstract: Seismic data acquired in the Yingxiongling structural belt feature complex wave fields, severe scattered noises, and weak signals. The low-velocity layer and strong anisotropy are a huge challenge to the precise imaging of deep sub-salt structures. Owing to the occurrence of extremely thick evaporites and four large fault zones, it is hard to accurately image steeply dipping formations and faults without distortion. This paper proposes an integrated scheme of acquisition and processing for the precise imaging of deep steep structures and foot walls. The key geometry parameters for imaging are clarified based on forward modeling and the comparative study of field and modelled data. A target-oriented scheme for near-surface survey and the techniques of near-surface velocity modeling are established based on the quantitative analysis of shallow velocity influence on deep structure imaging. Guided by the velocity modeling from the "true" surface, a prestack depth migration velocity model for the precise imaging of foot walls is finally obtained through tomographic inversion of partial offset data and multi-azimuth grid tomography. The research suggests that: (1) wide azimuth and large offset can improve the reliability and accuracy of deep fault and basement imaging in the study area; (2) constrained tomographic inversion of partial offset data is a better solution to the modeling of the extremely thick near-surface layer with improved accuracy in mountainous areas; and (3) multi-azimuth grid tomography based on wide-azimuth seismic data can obtain a reasonable anisotropic velocity field of evaporites and foot walls for improved imaging of complex highly steep structures and foot walls.