Hyperspectral band selection algorithms are crucial for processing high-dimensional data,
which enables dimensionality reduction, improves data analysis, and enhances …

An effective method that influences classification performance is the extraction of spectral
information features. In this study, Global Spatial Spectral Attention Network (GSSA-Net) is …

Accurate crop classification, crucial for a macro-level understanding of food production,
formulating relevant agricultural policies, and predicting comprehensive agricultural …

This paper presents an adaptive wavelet-based band selection method for hyperspectral
image classification, that simultaneously selects relevant bands by analysing few spectral …

Abstract Recently, the Hyper Spectral Image (HSI) classification relies as a well-established
study area in the topic related to Remote Sensing (RS). The classification of HSI is used in …