For the precise measurement of complex surfaces, determining the position, direction, and
path of a laser sensor probe is crucial before obtaining exact measurements. Accurate …

Hyperspectral band selection (BS) algorithms aim to identify the most important bands
relevant to model decisions. While existing methods can effectively assign importance to …

Information fusion plays a vital role in hyperspectral band selection as it enables the
exploration of the spatial-spectral structure relationship present in bands of hyperspectral …

Medical hyperspectral imaging present a promising avenue for non-invasive diagnostic
methods for diseases. Nonetheless, the sparsity of medical hyperspectral data within high …

Deep learning-based hyperspectral image (HSI) classification methods have recently shown
excellent performance. However, the success of these deep learning methods mainly relies …

Band selection (BS) is one of the effective ways to reduce data dimensionality while
retaining important information in hyperspectral imagery (HSI). The ultimate goal is to …