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 …

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 …

Hyperspectral Image Classification (HSC) is a challenging task due to the high
dimensionality and complex nature of Hyperspectral (HS) data. Traditional Machine …

Most deep learning-based action recognition models focus only on short-term motions, so
the model often causes misjudgments of actions that are combined by multiple processes …

Rice is vital to people all around the world. The demand for an efficient method in rice seed
variety classification is one of the most essential tasks for quality inspection. Currently, this …

Global attention on the exploration of hyperspectral imaging (HSI) system for non-destructive
evaluation of detailed analyses of food and agricultural products has increased significantly …

The key challenge of face recognition is to develop an effective feature representations for
reducing intrapersonal variations while enlarging interpersonal differences. In this paper, we …

Histogram of Oriented Gradient (HOG) is a robust descriptor which is widely used in many
real‐life applications, including human detection, face recognition, object counting, and …

Color texture classification aims to recognize patterns by the analysis of their colors and their
textures. This process requires using descriptors to represent and discriminate the different …

Rice is a primary source of food consumed by almost half of world population. Rice quality
mainly depends on the purity of the rice seed. In order to ensure the purity of rice variety, the …