Matheus Leonel de Andrade

Hyperspectral Image Classification Using PCA-Based Deep 2D Convolutional Neural Networks with Spatial Regularization

Hyperspectral image classification remains a challenging task due to the high dimensionality of spectral data and the limited availability of labeled samples. In this work, we propose an efficient and robust classification framework that combines principal component analysis (PCA) for spectral dimensionality reduction...