Despite being computationally more efficient than vector-based approaches, the use of rasterbased\udtechniques for simulating wildfire spread has been limited by the distortions that affect\udthe fire shapes. This work presents a Cellular Automata approach that is able to mitigate\udthis problem with a redefinition of the spread velocity, where the equations generally used in\udvector-based approaches are modified by means of a number of correction factors. A numerical\udoptimization approach is used to find the optimal values for the correction factors. The results\udare compared to the ones given by two well-known Cellular Automata simulators. According to\udthis work, the proposed approach provides better results, at a comparable computational cost.
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