Machine learning may seem magical at times, but it's not. A lot of effort goes into ensuring algorithms perform properly and it starts with getting data sets in usable shape. That's where the feature ...

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...