Hyperspectral imaging has been used in a variety of geological applications since its advent
in the 1970s. In the last few decades, different techniques have been developed by …

The hyperspectral remote sensing images (HSIs) are acquired to encompass the essential
information of land objects through contiguous narrow spectral wavelength bands. The …

Classification is one of the most popular topics in hyperspectral remote sensing. In the last
two decades, a huge number of methods were proposed to deal with the hyperspectral data …

Hyperspectral data classification is a hot topic in remote sensing community. In recent years,
significant effort has been focused on this issue. However, most of the methods extract the …

Weathering is one of the most common causes of building sandstone damage. The
evolution of building sandstone in various weathering behaviors is critical for research. An …

Multi-task learning has commonly been used and performed well at joint visual perception
tasks. Hyperspectral pansharpening (HP) and hyperspectral classification (HC) tasks extract …

In recent years, deep learning has presented a great advance in the hyperspectral image
(HSI) classification. Particularly, long short-term memory (LSTM), as a special deep learning …

Deep learning has recently attracted significant attention in the field of hyperspectral images
(HSIs) classification. However, the construction of an efficient deep neural network mostly …

In this work, many of the fundamental and advanced spectral processing methods available
to geologic remote sensing are reviewed. A novel categorization scheme is proposed that …

Beginning with a discussion of reflectance spectroscopy, this article attempts to provide a
review on fundamental concepts of reflectance spectroscopic techniques. Their applications …