Strategies for dimensionality reduction in hyperspectral remote sensing: A comprehensive overview

• DOI: 10.1016/j.ejrs.2024.01.005
• Publication Date: 2024-01-31T06:07:50Z
• Authors: Radhesyam Vaddi; B.L.N. Phaneendra...; Prabukumar Manoharan; L. Agilandeeswari; V. Sangeetha
• Keywords: Remote sensing application

The technological advancements in spectroscopy give rise to acquiring data about different materials on earth's surface which can be utilized a variety of potential applications. But, the hundreds spectral bands are generally equipped with highly correlated information limited training samples. This will degrade Hyperspectral Image (HSI) classification accuracy. So Dimensionality Reduction (DR) has become inevitable and necessary step need incorporate before HSI classification. main contribution this work lies comparative study review dimensionality reduction techniques for remote sensing image related challenges research directions also discussed. help researchers community choose appropriate DR technique useful various real time