Hyperspectral imaging has emerged as an effective powerful tool in plentiful military,
environmental, and civil applications over the last three decades. The modern remote …

In an industrial environment, measuring and reconstructing metal objects using computer
vision methods can be affected by surface highlight reflections, leading to inaccurate results …

Abstract Generative Adversarial Networks (GANs) constitute an advanced category of deep
learning models that have significantly transformed the domain of generative modelling …

Introduction During the last few years, a heightened interest has been shown in classifying
scene images depicting diverse robotic environments. The surge in interest can be attributed …

Object Classification in Remote Sensing Imagery holds paramount importance for extracting
meaningful insights from complex aerial scenes. Conventional methods encounter …

In recent years, the use of convolutional neural networks (CNNs) and graph convolutional
networks (GCNs) has significantly advanced hyperspectral image classification (HSIC) …

Honeybees play a vital role in preservation of an healthy environment. Bees not only provide
pollination services but also produce honey, beeswax, and royal jelly. Beekee** has a …

Analysis of hyperspectral imagery is a critical aspect of remote sensing in precision
agriculture, for which effective dimensionality reduction (DR) strategies for the inherent …

Introduction Advanced traffic monitoring systems face significant challenges in vehicle
detection and classification. Conventional methods often require substantial computational …

The accurate detection and monitoring of supraglacial lakes in high mountainous regions
are crucial for understanding their dynamic nature and implications for environmental …