Super-resolution mapping of wetland inundation from remote sensing imagery based on integration of back-propagation neural network and genetic algorithm
Mapping the spatio-temporal characteristics of wetland inundation has an important significance to the study of wetland environment and associated flora and fauna. High temporal remote sensing imagery is widely used for this purpose with the limitations of relatively low spatial resolutions. In this study, a novel method based on integration of back-propagation neural network (BP) and genetic algorithm (GA), so-called IBPGA, is proposed for super-resolution mapping of wetland inundation (SMWI)...[Show more]
|Collections||ANU Research Publications|
|Source:||Remote Sensing of Environment|
|Li et al Super Resolution Mapping of Wetland Inundation 2015.pdf||711.17 kB||Adobe PDF|
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