This article gives a survey of state-of-the-art methods for processing remotely sensed big
data and thoroughly investigates existing parallel implementations on diverse popular high …

With advantages such as non-destructiveness, high sensitivity and high accuracy, optical
techniques have successfully integrated into various important physical quantities in …

The quality and accuracy of remote sensing instruments continue to increase, allowing
geoscientists to perform various quantitative retrieval applications to observe the …

Thanks to its richness in extractable features, Hyperspectral images (HSI) find an
accelerated use in medical, industrial, agricultural, and environmental fields. In this paper …

The existing thermal infrared (TIR) ship detection methods may suffer serious performance
degradation in the situation of heavy sea clutter. To cope with this problem, a novel ship …

Hyperspectral image classification can be achieved by modeling an energy minimization
problem on a graph of image pixels. In this paper, an effective spectral-spatial classification …

Effective classification algorithm is a key to extracting interesting and useful information from
hyperspectral images (HSI). Many researchers have worked on developing effective …

Accepted: 15 April 2022 Water body extraction has become an increasingly important
source of information for the prediction of heavy flood situations over the last few decades …

Nowadays, the use of hyperspectral sensors has been extended to a variety of applications
such as the classification of remote-sensing images. Recently, a spectral–spatial …

Multivariate imaging advanced in recent years which prompted many applications for
detailed understanding in the fields of satellite imaging, medical imaging, and microscopic …