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Item type:Publication, Access status: with files , Multi-band bathymetry mapping with spiking neuron anomaly detection(Multidisciplinary Digital Publishing Institute (MDPI), 2022-03-04); ; ; The developed method extracts bathymetry distributions from multiple satellite image bands. The automated remote sensing function is sparsely coded and combines spiking neural net anomaly filtration, spline, and multi-band fittings. Survey data were used to identify an activation threshold, decay rate, spline fittings, and multi-band weighting factors. Errors were computed for remotely sensed Landsat satellite images. Multi-band fittings achieved an average error of 25.3 cm. This proved sufficiently accurate to automatically extract shorelines to eliminate land areas in bathymetry mapping.Publicationtype: Journal Article74 160