Abstract: Autoencoders (AEs) are commonly utilized for acquiring low-dimensional data representations and performing data reconstruction, which makes them suitable for hyperspectral unmixing (HU).
This repository contains a sample API project built using the Clean Architecture principles, Onion Architecture, MediatR, and Entity Framework. The project also includes unit tests for all layers and ...
Abstract: Land use land cover (LULC) classification using satellite images is crucial for land-use inventories and environment modeling. The LULC classification is a difficult task because of the high ...