5 May 2017 Genetic algorithm for flood detection and evacuation route planning
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Abstract
A genetic-type algorithm is presented that uses satellite geospatial data to determine the most probable path to safety for individuals in a disaster area, where a traditional routing system cannot be used. The algorithm uses geological features and disaster information to determine the shortest safe path. It predicts how a flood can change a landform over time and uses this data to predict alternate routes. It also predicts safe routes in rural locations where GPS/map-based routing data is unavailable or inaccurate. Reflectance and a supervised classification algorithm are used and the output is compared with RFPI and PCR-GLOBWB data.
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Rahul Gomes, Jeremy Straub, "Genetic algorithm for flood detection and evacuation route planning", Proc. SPIE 10198, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII, 1019816 (5 May 2017); doi: 10.1117/12.2266474; https://doi.org/10.1117/12.2266474
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