Rapid advancement in the development of hyperspectral image analysis techniques has led
to specialized hyperspectral missions. It results in the bulk transmission of hyperspectral …

This tutorial offers an introduction to terrestrial and close-range hyperspectral imaging and
some of its uses in human color vision research. The main types of hyperspectral cameras …

Hyperspectral imaging is an indispensable technology for many remote sensing
applications, yet expensive in terms of computing resources. It requires significant …

Hyperspectral images (HSIs), which obtain abundant spectral information for narrow spectral
bands (no wider than 10 nm), have greatly improved our ability to qualitatively and …

Effective compression of hyperspectral (HS) images is essential due to their large data
volume. Since these images are high dimensional, processing them is also another …

Rapid advancements in hyperspectral (HS) methodologies for image analysis have resulted
in specialized HS tasks, well-known for their extensive spatial-spectral data. Spectral bands …

Unmanned Aerial Vehicles (UAVs) combined with Hyperspectral imaging (HSI) offer
potential for environmental and agricultural applications by capturing detailed spectral …

Agriculture is India's most common job, yet it lacks innovation and technology. As the world's
population expands, so does the demand for more food. Pesticides are used on farms to …

Hyperspectral image analysis techniques have advanced considerably in the past decade,
resulting in specialized hyperspectral applications. Because the spectral dimension of …

Hyperspectral measurements from long range sensors can give a detailed picture of the
items, materials, and chemicals in a scene but analysis can be difficult, slow, and expensive …