The method is based on Hough transform and probability grids.
Next, we add together probability grids, in which the different grids are based on the Gaussian distribution of n pd centered on a certain point of vector scomb,2.
It is designed to be easier to use than probability impact grid based approaches, and it links qualitative approaches in this format to quantitative approaches.
In the matrix, the transition probability between grid cells (i.e., states) is trained by the historical step counts, i.e., the number of transition steps from one cell to another is used to derive the transition probability between these two cells.
Probability distribution grids can be extracted from the 3-D models at any desired depth, and are of interest to water-resource managers, water-quality researchers, and groundwater modelers concerned with the occurrence of natural and anthropogenic contaminants related to anoxic conditions.
It is used to calculate the switching probability of each grid point as a function of its previous state and the state of the neighboring grid points.
The hazard occurrence probability for each grid is determined based on the spatial distribution of random hazards, rainstorms, and sandstorms.
The simplest strategy would be to choose both origin and destination with uniform probability on the grid.
