A Lightweight CNN-SEEDS Fusion Model With Factor Analysis for Hyperspectral Image Classification
Hyperspectral remote sensing enables detailed characterization of Earth surface materials through hundreds of spectral bands. However, the high dimensionality of hyperspectral images and the limited availability of labeled samples make classification computationally challenging. This work addresses this problem by prop...