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 …

Hyperspectral imaging (HSI) is a non-destructive and contactless technology that provides
valuable information about the structure and composition of an object. It has the ability to …

Short-term passenger flow forecasting is one of the crucial components in transportation
systems with data support for transportation planning and management. For forecasting bus …

Classification techniques applied to hyperspectral images are very useful for lithologic
discrimination and geological map**. Classifiers are often applied either to all spectral …

The high spectral resolution of hyperspectral images (HSIs) provides rich information but
causes data redundancy, which imposes a computational burden on practical applications …

Band selection (BS) can mitigate the “curse of dimensionality” problem and improve the
performance of hyperspectral image (HSI) classification. Genetic algorithms (GAs) have …

This paper presents an unsupervised approach to band selection in hyperspectral images
that considers both spectral and spatial information in data dimensionality reduction. The …

The technological advancements in spectroscopy give rise to acquiring data about different
materials on earth's surface which can be utilized in a variety of potential applications. But …

A hyperspectral image (HSI) has many bands, which leads to high correlation between
adjacent bands, so it is necessary to find representative subsets before further analysis. To …

Application of hyperspectral infrared imagery for mineral grain identification suffers from a
lack of prediction on the irregular grain's surface along with the mineral aggregates. Here …