Hyperspectral images (HSI) are obtained from hyperspectral imaging sensors to capture the
object's information in hundreds of spectral bands. However, how to make full advantage of …

Hyperspectral imaging (HSI) has been extensively utilized in many real-life applications
because it benefits from the detailed spectral information contained in each pixel. Notably …

Efficient and automated data acquisition techniques, as well as intelligent and accurate data
processing and analysis techniques, are essential for the advancement of precision …

Hyperspectral image classification (HSIC) has become a hot research topic. Hyperspectral
imaging (HSI) has been widely used in a wide range of real-world application areas due to …

Speech is a primary means of human communication and one of the most basic features of
human conduct. Voice is an important part of its subsystems. A speech disorder is a …

The deep convolutional neural network (CNN) has recently attracted the researchers for
classification of hyperspectral remote sensing images. The CNN mainly consists of …

Hyperspectral image classification is a challenging task due to the high dimensionality and
complex nature of hyperspectral data. In recent years, deep learning techniques have …

The rapid development of advanced remote sensing technology with multichannel imaging
sensors has increased its potential opportunity in the utilization of hyperspectral data for …

In recent years, scientists have investigated the potential of EEG for identifying emotional
states. Analyzing the patterns and frequencies of brainwave activity makes it possible to …

Owing to undulating and complexity of the earth's surface, obtaining the training samples for
remote sensing data is time‐consuming and expensive. Therefore, it is highly desirable to …