Dual-tree complex wavelet transform-based image enhancement for accurate long-term change assessment in coal mining areas

摘要: AbstractThe main objective of this study was to improve the long-term land use change detection by improving classification accuracy previous generation satellite image using a recent super-resolution technique. The also analysed in cover over period 41 years coal mining area. A dual-tree complex wavelet transform-based technique used enhance Landsat images 1975 and 2016. Separating pixels with similar spectral response is an enigmatical task, especially when those pixel represent different ground features. Therefore, advanced neural net supervised classifier minimize errors. Accuracy classified (both super-resolved original) were measured confusion matrices kappa coefficients. significant improvement more than 10% observed overall for 1975, highlighting that earlier data can be...