A novel method for correcting scanline-observational bias of discontinuity orientation.

ABSTRACT: Scanline observation is known to introduce an angular bias into the probability distribution of orientation in three-dimensional space. In this paper, numerical solutions expressing the functional relationship between the scanline-observational distribution (in one-dimensional space) and the inherent distribution (in three-dimensional space) are derived using probability theory and calculus under the independence hypothesis of dip direction and dip angle. Based on these solutions, a novel method for obtaining the inherent distribution (also for correcting the bias) is proposed, an approach which includes two procedures: 1) Correcting the cumulative probabilities of orientation according to the solutions, and 2) Determining the distribution of the corrected orientations using approximation

SUBMITTER: Huang L 

PROVIDER: S-EPMC4785530 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature