This chapter applies the adaptive sampling (AS) methods developed in the previous chapters to the application of forest fire mapping. The spread of forest fires is modelled as a parametric field, and the AS algorithms are made use of to estimate the fire field. Extensive simulations are carried out to validate the proposed algorithms. The chapter is organized as follows: section 4.1 presents the two parametric models used to describe the spread of forest fires, section 4.2 discusses the parameterization of the field by interpreting remote sensing images, section 4.3 presents the formulation for extended Kalman filter (EKF)-based AS algorithm for spatio temporal distributions and the multi-scale algorithm for mapping of forest fires using AS, and section 4.4 discusses potential field-based path planning for robots navigating through the estimated fire field. Finally, section 4.5 presents the simulation results for complex fields including the forest fires.
Case study: application to forest fire mapping, Page 1 of 2
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