A hyperspectral imaging sensor collects detailed spectral responses from ground objects
using hundreds of narrow bands; this technology is used in many real-world applications …

Feature selection is a highly regarded research area in the field of data mining, as it
significantly enhances the efficiency and performance of high-dimensional data analysis by …

Hyperspectral image (HSI) classification is a most challenging task in hyperspectral remote
sensing field due to unique characteristics of HSI data. It consists of huge number of bands …

Band selection, by choosing a set of representative bands in a hyperspectral image, is an
effective method to reduce the redundant information without compromising the original …

Hyperspectral image (HSI) consists of hundreds of continuous narrowbands with high
spectral correlation, which would lead to the so-called Hughes phenomenon and the high …

As an effective manner to reduce data redundancy and processing inconvenience,
hyperspectral band selection aims to select a subset of informative and discriminative bands …

Pavement condition information is a significant component in Pavement Management
Systems. The labeling and quantification of the type, severity, and extent of surface cracking …

Band selection is considered as a direct and effective method to reduce redundancy, which
is to select some informative and distinctive bands from the original hyperspectral image …

With the increasing spectral dimension of hyperspectral images (HSI), how correctly choose
bands based on band correlation and information has become more significant, but also …

With the ongoing development of Earth observation techniques, huge amounts of remote
sensing images with a high spectral-spatial-temporal resolution are now available, and have …