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COASTLINE DETECTION USING FUSION OF OVER SEGMENTATION AND DISTANCE REGULARIZATION LEVEL SET EVOLUTION
Coastline DRLSE FOOS K-means Clustering Sea-land Segmentation Wavelet Transform
2018/5/8
Coastline detection is a very challenging task in optical remote sensing. However the majority of commonly used methods have been developed for low to medium resolution without specification of the ke...
Ensemble modelling of nitrogen fluxes: data fusion for a Swedish meso-scale catchment
Ensemble modelling nitrogen fluxes data fusion
2010/12/22
Model predictions of biogeochemical fluxes at the landscape scale are highly uncertain, both with respect to stochastic (parameter) and structural uncertainty. In this study 5 different models (LASCAM...
Multi-model data fusion for river flow forecasting: an evaluation of six alternative methods based on two contrasting catchments
data fusion fuzzy logic neural network hydrological modelling
2009/3/17
This paper evaluates six published data fusion strategies for hydrological forecasting based on two contrasting catchments: the River Ouse and the Upper River Wye. The input level and discharge estima...