Machine learning approaches, such as deep neural networks, have shown recent success for target detection and identification problems in hyperspectral imagery. However, when …
Robust and accurate unmanned aircraft system (UAS) detection is pivotal in restricted air spaces. Deep learning-based object detection has been proposed to identify the presence …
YM Hirimutugoda, TP Silva… - Journal of Medical …, 2023 - jmai.amegroups.org
Certainty is a significant part of disease detection, involving various kinds of imaging and machine learning (ML) methodologies. More precisely than other ML methods, a …
Hyperspectral imagery (HSI) are captured in narrow and contiguous spectral bands for efficient detection of earth surface features. Therefore, HSI are having high spectral …
Throughout the last decade, machine learning has incurred exciting developments and, as a result, has been applied in a variety of applications such as wireless communications, image …
A Paul, N Chaki - Dimensionality Reduction of Hyperspectral Imagery, 2023 - Springer
Methods of spectral dimensionality reduction (DR) of hyperspectral imagery (HSI) are presented in this book that includes both feature extraction and feature selection–based …